Cost Accounting

Cost Accounting Engineer Jobs

34 jobs found

Today

Junior Chemical/Process Engineer

Attolas Technologies Inc. Raleigh, NC

Raleigh, NC

Today

$80k - $91k/yr Full time Chemical Engineering Engineering Process Engineering

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Job Description

Attolas Technologies Inc. is seeking an early-career chemical/process engineer or chemist to design, develop, and operate chemical processes that transform raw materials into high-purity inorganic compounds. This onsite role in Raleigh, NC combines bench-scale work, scale-up planning, safety review, and hands-on troubleshooting in the lab.

Responsibilities

Develop and execute processes that convert raw materials into high-purity inorganic compounds.
Perform bench-scale synthesis and purification, including precipitation, crystallization, drying, and recovery, then scale work into repeatable batch processes.
Maintain tight purity specifications through contamination control and rigorous material accounting, with yield tracked at the gram level.
Work safely with reactive and hazardous materials, including writing SOPs, leading hazard reviews, and managing material compatibility.
Use analytical methods and partner with outside labs to verify that products meet specification.
Create process models using mass and energy balances, reaction stoichiometry, and yield calculations.
Support techno-economic analysis by evaluating unit production cost and identifying key cost drivers.
Operate laboratory equipment hands-on, including gloveboxes and inert-atmosphere systems, and troubleshoot processes directly.

Requirements

A degree in chemical engineering, chemistry, or a related field, with 0–4 years of experience.
Hands-on synthesis or lab experience, ideally in inorganic chemistry, along with a strong safety mindset.
Strong fundamentals in thermodynamics and reaction engineering, with the ability to solve problems from first principles.
Careful, meticulous laboratory practice and the discipline to keep documentation that others could reproduce.
Comfort working with Python, MATLAB, Excel, or similar tools for modeling and data analysis.
Self-motivation to identify and complete necessary work.
Comfort working at a startup pace.

Tools and Technologies

Python
MATLAB
Excel

Compensation and Benefits

Salary: USD 80,000 to 90,800 per year plus stock in the company.

Dental insurance
Health insurance
Vision insurance
Relocation assistance
Stock in the company

Location and Travel

Onsite role based in Raleigh, North Carolina.
Travel may be required to other company and supplier sites.
Some scheduling periods may require temporary location stays lasting weeks to months.

Additional Considerations

Experience with air-sensitive or glovebox work
Experience handling highly hazardous reagents
Experience with high-purity or trace-metals work
Experience with process scale-up

Education

Degree requirement: Degree in chemical engineering, chemistry or a related field.

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3d ago

Data Engineer, Manufacturing Accounting

Tesla Austin, TX

Austin, TX

3d ago

Full time Accounting Analytics Business Analytics

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Job Description

Build manufacturing accounting data pipelines and deliver variance analytics that help drive cost control and efficiency at scale.

Responsibilities

Build and maintain data pipelines, databases, and infrastructure using SQL, Python, and CI/CD to automate analyses and support manufacturing accounting operations
Ingest data from primary and secondary sources, ensuring data systems enable both operational and exploratory analysis
Ensure compliance with internal policies, accounting standards, and applicable regulations
Support audits by providing documentation and analysis related to manufacturing costs
Automate analyses and pipelines so production and finance teams can use key insights efficiently
Analyze manufacturing costs in depth by tracking actual costs for processes and products and performing variance analyses to identify deviations, cost-saving opportunities, and process improvements
Monitor cost trends, investigate drivers of fluctuations, and propose corrective actions with cross-functional partners
Analyze manufacturing data across production lines to extract statistics, identify trends or patterns in complex datasets, and present findings through innovative dashboards and reports for upper-level management
Partner with Controls, Process, Manufacturing Engineers, Finance, Operations, and other stakeholders to develop manufacturing variance, inventory, and scrap data collection activities
Improve reporting tools and enhance underlying data systems based on stakeholder needs
Identify underutilized data sources and design new approaches to capture actionable insights for business decisions
Perform inventory analysis to ensure accuracy, find discrepancies, and optimize control processes
Implement cost control measures, evaluate cost-saving initiatives, and propose strategies to enhance manufacturing efficiency and reduce expenses

Requirements

Degree in Accounting, Finance, Data Engineering, Computer Science, or equivalent experience
CPA license, MBA, or relevant certifications preferred (not required)
2 to 4 years of experience in data engineering, cost accounting, or a similar role in manufacturing environments, including working with large datasets and Manufacturing Execution Systems
Strong skills in SQL for data extraction and manipulation and Python for automation
Experience with Tableau (or similar) for visualizations, advanced MS Excel, and ERP systems
Deep understanding of manufacturing processes, cost accounting principles, financial analysis, cost modeling, and variance analysis
Excellent analytical skills and attention to detail, with strong problem-solving and the ability to interpret complex data for actionable decisions
Ability to thrive in a fast-paced, evolving environment with strong communication, collaboration, and decision-making

Technologies

SQL
Python
CI/CD
Tableau
MS Excel
ERP systems
Manufacturing Execution Systems

Benefits

Medical plans with $0 payroll deduction
Family-building, fertility, adoption and surrogacy benefits
Dental (including orthodontic coverage) and vision plans with options with a $0 paycheck contribution
Company paid (Health Savings Accounts) HSA Contribution when enrolled in the High-Deductible medical plan with HSA
Healthcare and Dependent Care Flexible Spending Accounts (FSA)
401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
Company paid Basic Life, AD&D
Short-term and long-term disability insurance (90 day waiting period)
Employee Assistance Program
Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly positions), and Paid Holidays
Back-up childcare and parenting support resources
Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
Weight Loss and Tobacco Cessation Programs
Tesal Babies program
Commuter benefits
Employee discounts and perks program
Earned Wage Access: real-time pay access paid daily, subject to eligibility and schedule (applicable for below Sr. Managers levels)

What to Expect

Leverage data engineering, cost accounting, and manufacturing systems to build robust data pipelines and infrastructure
Perform manufacturing variance analytics, monitor and analyze costs, and provide actionable insights to drive efficiency and profitability
Transform large datasets into KPIs, visualizations, and dashboards to support cross-functional business and operational decisions

Location: Austin, TX (onsite)

Minimum Experience: 2 years

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6d ago

Principal Machine Learning Engineer

AppFolio Inc Goleta, CA

Goleta, CA

6d ago

$264k - $363k/yr Full time Agentic Ai Ai Agent Ai Agent Platform

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Job Description

AppFolio is hiring a Principal Machine Learning Engineer to define and lead AI systems for Realm-X and an autonomous Real Estate Performance Management (RPM) platform.

Responsibilities

Define the technical vision and architecture for AI systems across Realm-X in partnership with senior leadership
Design and deploy AI Agentic systems that combine reasoning, planning, and execution
Deliver multi-agent orchestration across specialist agents for areas such as maintenance, leasing, accounting, and collections
Establish platform primitives and abstractions for context-aware, action-oriented automation
Raise standards across end-to-end ML systems: data collection, training, evaluation, deployment, and inference infrastructure
Architect and build scalable multi-modal and real-time AI applications with high-quality deployment practices
Lead AppFolio’s transition toward autonomous property management operations using existing LLMs today, while instrumenting proprietary data collection for future training workflows
Enable selective training, fine-tuning, and RL optimization for open source LLMs and SLMs in the RPM domain to optimize performance, latency, and cost
Build data and feedback loops to enable Reinforcement Learning over agent action policies in partially observable, high-stakes property management

Requirements

Master’s or Ph.D. in Computer Science, Machine Learning, or a related field
10+ years building software systems with significant focus on ML/AI (or equivalent impact)
Published research and shipped production systems
Experience with traditional ML, deep learning, and generative AI / LLMs including prompting, fine-tuning, RAG, agents, and tool and skills use
Hands-on experience with LLM post-training such as SFT, RLHF, DPO, and/or RL at non-trivial scale
Strong grasp of data extraction, model training, evaluation, deployment, and integration into production software
Expertise in Python, PyTorch, NumPy, AWS, Docker, SQL, embeddings, and RAG
Experience with LangChain, LangGraph, and LLM observability tools such as LangSmith
Experience designing and operating production-grade ML systems at scale
Applied experience with ontology-driven systems, knowledge graphs, or semantic layers to model business domains for AI
Proficiency with AI coding tools and workflows, e.g., Copilot and ChatGPT, including code generation tools

Technologies

Python, PyTorch, NumPy
AWS, Docker, SQL
Embeddings, RAG
LangChain, LangGraph, LangSmith
Copilot, ChatGPT
SFT, RLHF, DPO
LLMs, SLMs

Nice to Have

Deep RL expertise applied to sequential decision-making under partial observability
Experience designing evaluation and benchmarking systems for AI
Background in distributed systems and real-time architectures
Experience building platforms used by multiple engineering teams
Contributions to industry thought leadership (publications, talks, open source, etc.)

Benefits

Regular full-time employees are eligible for benefits
Compensation range: $264,000 - $363,000 base pay
Additional benefits or discretionary bonuses may be eligible based on role and/or employment type

Location

Goleta, CA (onsite)
Find out more about locations by visiting AppFolio’s site
All late-stage candidates complete an in-person meeting with an AppFolian as part of the hiring process

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12d ago

Director of Finance (Architecture, Engineering, and Construction (AEC) Sectors)

Right Coach Right Time Philadelphia, PA

Philadelphia, PA

12d ago

$100k - $150k/yr Full time Finance Director Accounting Budget Management

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Job Description

The Director of Finance will lead financial operations for a commercial and industrial power-equipment business serving architecture, engineering, and construction (AEC) sectors. This hands-on role supports inventory-heavy operations through accounting leadership, FP&A, cash-flow management, operational analysis, and direct partnership with senior leaders.

Key Responsibilities

Lead the accounting and finance function, including monthly close, financial reporting, budgeting, forecasting, cash management, and financial analysis
Prepare timely and accurate monthly financial statements and management reporting for executive leadership
Develop annual budgets and rolling forecasts, delivering visibility into expected revenue, profitability, cash flow, and capital requirements
Manage and analyze inventory valuation, inventory aging, turns, purchasing activity, equipment profitability, and working-capital requirements
Partner with Sales and Operations to assess deal economics, pricing, gross margin, commissions, project costs, and profitability
Build financial models and analyses for inventory purchases, major transactions, financing decisions, investments, and strategic growth initiatives
Improve cash-flow forecasting and working-capital management across accounts receivable, accounts payable, inventory, purchasing, and customer and vendor terms
Establish and maintain financial controls covering purchasing, inventory, payments, collections, revenue recognition, commissions, and capital expenditures
Create dashboards and KPIs for revenue, gross margin, profitability, cash, AR, inventory, backlog, sales performance, and other key business drivers
Review existing financial systems and processes and implement improvements to increase accuracy, efficiency, scalability, and visibility
Manage relationships with banks, lenders, insurance providers, tax professionals, auditors, and other external financial partners
Ensure compliance with applicable accounting, tax, reporting, and regulatory requirements
Support executive leadership with strategic planning, scenario modeling, investment decisions, and long-term financial planning
Build and develop the finance and accounting team as company needs evolve

Required Qualifications

8+ years of progressive accounting and finance experience with leadership responsibility
Bachelor’s degree in Accounting, Finance, or a related field
Strong command of financial statements, budgeting, forecasting, cash-flow management, and management reporting
Experience in an inventory-intensive operating environment such as industrial equipment, distribution, machinery, rental, manufacturing, construction, automotive or heavy equipment, or field services
Strong understanding of inventory accounting, cost, gross margin, working capital, AR/AP, and operational finance
Experience partnering directly with Sales and Operations rather than operating finance as a standalone function
Advanced Excel and financial-modeling skills, with strong experience using accounting or ERP systems
Ability to translate complex financial information into clear business recommendations for non-finance leaders
Strong process and internal-control mindset without creating unnecessary bureaucracy
CPA and/or MBA preferred but not required depending on experience
Comfort working in an entrepreneurial environment where senior leaders remain hands-on

Technology

Excel
Accounting/ERP systems

Location and Work Style

Philadelphia, PA (hybrid remote), Work Location: Philadelphia, PA 19119

Compensation

$100,000.00 - $150,000.00 per year

Benefits

Health insurance
Paid time off

What Success Looks Like

Provide the company with clearer visibility into where the business is making money, where cash is tied up, how inventory is performing, and where capital should be deployed next
Within the first year, improve the speed and accuracy of financial reporting, strengthen forecasting and controls, enhance visibility into inventory and gross margin, improve working-capital management, and become a trusted financial partner to executive leadership

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23d ago

AI Data & Analytics Engineer

DACUT West Bloomfield Township, MI

West Bloomfield Township, MI

23d ago

$90k - $110k/yr Full time Analytics Artificial Intelligence Business Intelligence

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Job Description

DACUT Cannabis, a vertically integrated cannabis organization, is seeking an AI Data & Analytics Engineer to strengthen reporting, automation, and forecasting across the business. This onsite role (West Bloomfield Township, MI) focuses on connecting operational and financial data, building predictive models, and delivering executive-ready insights through scalable dashboards and governed data pipelines.

You will combine AI and machine learning with data engineering and financial analytics to improve forecasting accuracy, reduce manual reporting effort, and enable leaders to understand performance across retail, cultivation, processing, distribution, and corporate operations.

Responsibilities

Develop and implement AI-powered tools that improve forecasting, reporting, operational efficiency, and financial decision-making.
Build machine-learning models for revenue forecasting, demand planning, inventory optimization, labor analysis, and expense management.
Identify opportunities to automate recurring financial, operational, and executive reporting.
Develop AI-assisted workflows using large language models, APIs, and automation platforms.
Create systems that identify trends, anomalies, financial risks, and operational inefficiencies.
Evaluate emerging AI technologies and recommend practical applications across the organization.
Establish safeguards and validation processes to ensure AI-generated insights are accurate, secure, and reliable.
Analyze revenue, gross margin, operating expenses, labor costs, inventory value, profitability, and cash-flow trends.
Build financial models, forecasts, budgets, and scenario analyses for executive leadership.
Develop location-level, department-level, product-level, and brand-level profitability reporting.
Analyze performance across retail, cultivation, processing, distribution, and corporate operations.
Partner with Finance and Accounting to validate financial data and maintain consistent reporting standards.
Create automated reporting for actual performance compared with budgets, forecasts, and prior periods.
Support strategic planning by identifying cost-saving opportunities, revenue trends, and performance risks.
Design, develop, and maintain executive-level Power BI dashboards and reporting tools.
Build scalable data models using Power Query, DAX, calculated measures, and relationships.
Create dashboards for financial performance, retail sales, inventory, cultivation yields, production output, labor, and operational KPIs.
Implement row-level security, scheduled refreshes, and data-quality controls.
Improve dashboard usability by presenting complex information in a clear and actionable format.
Establish consistent definitions for KPIs across departments and business entities.
Write, optimize, and maintain complex SQL queries, stored procedures, views, and data transformations.
Build and manage ETL/ELT pipelines that consolidate information from multiple systems.
Integrate data from POS, ERP, accounting, payroll, inventory, compliance, CRM, and operational platforms.
Create centralized datasets that support reporting, forecasting, and AI applications.
Monitor data pipelines, troubleshoot failures, and resolve inconsistencies between source systems.
Develop processes for data cleansing, validation, reconciliation, and documentation.
Support the development of a reliable data warehouse or centralized reporting environment.
Connect data across retail, cultivation, processing, distribution, inventory, finance, and corporate functions.
Develop reporting that tracks products and costs throughout the entire operational lifecycle.
Analyze cultivation yields, production costs, inventory movement, retail sell-through, product margins, and overall profitability.
Identify gaps between departments that affect data accuracy, inventory control, or financial performance.
Partner with leaders across each division to understand operational challenges and develop data-driven solutions.
Support standardized reporting across multiple locations, departments, brands, and legal entities.
Maintain accurate, consistent, and secure financial and operational data.
Develop documentation for data sources, models, calculations, dashboards, and automated processes.
Establish validation controls to identify missing, duplicated, or inaccurate information.
Protect confidential financial, employee, customer, and operational information.
Support reporting requirements within a highly regulated industry.
Ensure AI tools and data integrations follow company security, privacy, and compliance standards.

Requirements

Bachelor’s degree in Data Science, Computer Science, Data Analytics, Finance, Accounting, Engineering, or a related field.
At least 3–5 years of experience in data analytics, business intelligence, data engineering, financial analytics, or a related position.
Advanced SQL skills, including complex joins, CTEs, data transformations, query optimization, and database troubleshooting.
Advanced experience developing Power BI dashboards, semantic models, Power Query transformations, and DAX calculations.
Demonstrated experience applying AI, machine learning, or predictive analytics to real business problems.
Strong understanding of financial statements, budgeting, forecasting, profitability, and operational finance.
Experience integrating and reconciling data from multiple business systems.
Ability to translate complex technical findings into clear recommendations for executives and operational leaders.
Strong analytical, organizational, and problem-solving skills.
Ability to work onsite at the West Bloomfield corporate office.

Technologies

SQL
Power BI
Power Query
DAX
ETL/ELT
APIs
Large language models
Machine learning

Preferred Qualifications

Experience supporting a vertically integrated or multi-entity organization.
Experience within cannabis, manufacturing, retail, distribution, consumer packaged goods, or another highly regulated industry.
Experience with Python, Microsoft Fabric, Azure, Databricks, APIs, or cloud-based data platforms.
Experience building machine-learning models, AI agents, or large language model integrations.
Knowledge of ERP, POS, inventory-management, payroll, and accounting systems.
Experience analyzing product costing, inventory valuation, supply-chain performance, and multi-location profitability.
Familiarity with cannabis platforms such as METRC, Dutchie, Alpine IQ, or similar systems.
Experience developing enterprise data governance and KPI standardization.

What Success Looks Like

Leadership has timely access to accurate financial and operational insights.
Manual reporting processes are replaced with reliable automated workflows.
Financial forecasts become more accurate and actionable.
Data from retail, cultivation, processing, inventory, and corporate systems is connected.
Power BI dashboards provide a consistent view of performance across the organization.
AI solutions produce measurable improvements in efficiency, profitability, and decision-making.

Compensation: USD 90,000 - 110,000 per year. Location: West Bloomfield Township, MI (onsite).

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29d ago

Sr Data Engineer, AI

Constellation Energy Generation, LLC. Baltimore, MD

Baltimore, MD

29d ago

$130k - $194k/yr Full time Artificial Intelligence Azure Azure Data Engineer

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Job Description

Constellation Energy Generation, LLC. is seeking a senior data engineer to help lead the design, build, test, implement, and maintain AI solutions, products, and processes in an Azure-based environment. This role partners with cross-functional teams in an agile setting, focusing on secure, maintainable engineering practices while owning AI data platform and pipeline delivery.

This position is based in Baltimore, MD and is an onsite opportunity. The role offers a salary range of USD 129,600 - 194,400 per year, with a structured total rewards package that includes comprehensive benefits and bonus and 401(k) components.

What you’ll do

Lead activities spanning design, build, testing, implementation, and maintenance of AI solutions, products, and processes.
Evaluate technology standards and product availability, weighing risks and benefits to deliver solutions aligned to business and IT needs.
Coordinate tasks for less experienced engineers and collaborate across teams as required.
Partner with scrum masters, project managers, QA, Creative, and UX to support compliance with project needs.
Architect, design, implement, and test systems to support high-quality releases.
Review peer code, advocate for standard development methodologies, and support an inclusive, highly cross-functional team environment.
Maintain deep technical knowledge across business areas and share knowledge through seminars, presentations, and publications within IT and Constellation.
Participate in technological innovation to drive business opportunities and solve complex problems.
Coach and provide oversight to engineers assigned to product or project teams.
Ensure secure, maintainable code and configurations, and support deployments using Azure DevOps.
Support issue investigation across application layers and databases, using strong debugging and problem-solving skills.
Identify opportunities to improve and scale Azure architecture, and shape core team processes to improve operational efficiency and quality.
Design and query database tables, views, functions, stored procedures, and batch processes.
Develop, implement, and support interfaces connecting websites, back-end systems, and third-party cloud solutions, vendors, and customers.
Engage with business partners to gather information, analyze requirements, and deliver practical, efficient, cost-effective solutions.
Design, develop, and review complex code or configurations to ensure AI solutions meet functional and technical specifications.
Write product specifications and design documentation for assigned system components.
Design and build large-scale AI data platforms/products & frameworks for real-time and batch processing used across the organization.
Develop complex data algorithms for AI/ML, data analytics, machine learning, and scientific computing.
Support proactive handling of emerging threats using indicators, and lead peer code reviews.
Apply version control principles (for example, Git) while working in an agile environment.
Assist with white papers and presentations to explain technology recommendations to IT stakeholders.
Implement data governance frameworks to ensure and manage data quality.

Key experience & qualifications

3+ years of experience.
Bachelor’s degree in Accounting (or 5-years experience in lieu of degree; 9-years experience in lieu of degree per the stated equivalency).
Experience with private and public cloud architectures, including pros/cons and migration considerations.
5-years of RDBMS experience.
Experience with JSON, JSON-LD, and XML data structures.
Experience implementing data pipelines using latest technologies and techniques.
Experience with Azure DevOps and tools such as Copado, GitHub, Heroku, ServiceNow, or similar.
3+ years hands-on programming experience with languages such as Java 8, C#, node.js, Python, SQL, and Unix shell/Perl scripting.
5+ years of industry experience as a data engineer, including involvement in the data component of the AI/ML lifecycle and applied machine learning topics.
3+ years of consulting or client service delivery experience on Azure.
Experience handling structured and unstructured datasets; strong t-SQL skills with experience in Azure SQL DW.
Experience with data modeling and advanced SQL techniques.
Cloud migration methodologies using tools such as Azure Data Factory and Event Hub (and related services mentioned in the listing).
Knowledge of ETL tools and ETL/ELT pipelines.
Advanced hands-on experience with Databricks and Spark (PySpark preferred), building and optimizing workflows and pipelines.
Hands-on proficiency with Python and PySpark for ETL/ELT pipeline development and support.
Experience configuring secure external data connections (examples include Azure Data Lake Storage and on-prem SQL Server) using Service Principals, SAS Tokens, OAuth, and mounting techniques.
Strong understanding of data security, encryption, and compliance standards, plus data governance frameworks.
Proven expertise with Azure Data Factory (ADF) for orchestrating and automating data workflows across cloud and on-premises environments.

Benefits

Eligible employees are offered a bonus program.
401(k) with company match.
Employee stock purchase program.
Comprehensive medical, dental, and vision benefits, including robust wellbeing programs.
Disability and life insurance benefits.
Paid time off for vacation, holidays, and sick days.
Comprehensive benefits package that includes bonus and 401(k).

Total rewards

Expected salary range of $145,800 to $162,000, varying based on experience, along with a comprehensive benefits package that includes bonus and 401(k).

Technologies: AI, Azure, Azure DevOps, Azure SQL DW, t-SQL, SQL, RDBMS, JSON, JSON-LD, XML, Java 8, C#, node.js, Python, Unix shell/Perl scripting, Git, GitHub, Copado, Heroku, ServiceNow, Azure Functions, Event Grids, Service Bus Queues, Cosmos DB, Azure Data Factory, Event Hub, Azure Data Lake Storage, Databricks, Spark, PySpark, ETL/ELT pipelines, ETL tools, Event driven architecture, AWS, GCP, OAuth, SAS Tokens, Service Principals, On-prem SQL Server.

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1mo ago

Sr. Software Engineer

ASML San Jose, CA

San Jose, CA

1mo ago Closed

$183k - $252k/yr Full time Senior .NET C Sharp

This position is no longer accepting applications (closed Oct 25, 2026).

Job Description

ASML is seeking a Senior Software Engineer (onsite) in San Jose, CA to provide full technical ownership and technical leadership across complex software module and subsystem activities, from design through integration, deployment, maintenance, and roadmap planning.

Role Overview

This position designs, develops, tests, and integrates software for ASML machines and applications, including analytics, data, control, and algorithm applications. The role serves as technical authority for one or more software modules or subsystems and provides leadership across software architecture, implementation, integration, deployment, maintenance, and technical roadmap activities.

Responsibilities

Take full technical ownership and lead several complex technical designs.
Contribute to development and change of sub-modules, with responsibility for sub-module results.
Operate at Train level and interface with other sectors in a complex environment, which may require negotiation.
Operate at module level with an end-to-end view, accounting for impact on other areas such as research, customer, and marketing.
Perform structural troubleshooting at functional level and manage technical uncertainties at sub-module level by developing creative solutions.
Take responsibility for customer problems (end-customer/sectors in Operations) and develop solutions for specific issues.
Represent competence in the Product Development Cycle.
Serve as a Technical Lead Designer and steer the work of 6-10 engineers.
Develop analytics, data, control, and algorithm applications enabling optimal manufacturing performance for ASML customers.
Provide technical direction, coaching, code reviews, design reviews, and architectural guidance to software engineers.
Drive software quality, maintainability, and long-term technical strategy while aligning with product and platform architecture.

Architecture, Planning, and Technical Decision-Making

Develop and/or deliver plans for significant aspects of a research program with guidance from senior colleagues.
Evaluate emerging software technologies, frameworks, development tools, and engineering practices relevant to ASML products and platforms.
Plan and coordinate identification and elicitation of product and/or project requirements, conduct completion and alignment analysis, document and manage requirements through the project life, and coordinate verification of end deliverables.
Define and document software architecture requirements, quality attributes, interface contracts, and non-functional requirements including performance, maintainability, reliability, and extensibility.
Conduct feasibility studies from technological and organizational perspectives, document findings, and support cost-benefit analysis for changes to business processes, products, or business unit structure.
Contribute to development of product road maps and contribute to SPS/SDS.
Assess feasibility of software architectures, frameworks, technology selections, deployment models, and implementation approaches.

Design and Integration Activities

Design engineering solutions and the validation process to ensure a design brief meets organizational and/or regulatory standards.
Develop software concepts, architectural approaches, and engineering strategies balancing functionality, maintainability, scalability, performance, and cost.
Develop technical concepts including material choices.
Specify (sub)modules using team input, design architecture, make technical choices across phases, solve technical issues, devise new approaches, and drive module development.
Prepare high-level design for (sub-)modules that fulfills requirements while addressing architectural and interface choices, documenting high-level design in relevant SEG documents.
Define software architecture and subsystem decomposition; establish technology selections and architectural direction; define software interfaces, platform boundaries, and integration approaches.
Lead architecture reviews and technical decision-making, detail out design and documentation, and develop detailed software designs and technical specifications.
Design reusable components, frameworks, services, and APIs; ensure adherence to architectural standards and engineering best practices.
Integrate sub-systems into the system, execute configuration management, and provide support to projects.
Lead software integration activities across modules, services, UI components, and hardware interfaces; manage dependencies and package versioning strategies.
Support build, deployment, installation, and upgrade processes; resolve architecture, compatibility, and integration issues.

Verification, Quality, and Diagnostics

Verify SDS and verify design specifications from team members, contributing to testing (TPS, a-test, (sub system) TAR, b-test).
Develop new testing approaches and strategies to meet changing requirements; drive software quality strategy and test automation.
Perform root-cause analysis of complex software defects and develop debugging and diagnostic approaches for complex systems.
Support performance analysis and optimization activities.
Lead design reviews and code reviews to improve software quality and maintainability.

Safety and EHS Compliance

Adhere to ASML EHS policies, procedures, and mandatory instructions, identifying and mitigating safety risk while safeguarding the environment and well-being of oneself and others.
Instruct the team in safe working methods and identify instances of risky behaviors, taking appropriate action and escalating serious issues as appropriate.

Project Management and Technical Roadmapping

Create high-level work breakdown, support planning, provide effort estimates, and manage assigned projects; delegate tasks and ensure timely execution and delivery according to quality standards within project management guidelines.
Drive technical planning and architecture roadmaps.
Identify technical risks and mitigation strategies.
Coordinate technical dependencies across teams and disciplines.
Guide execution of complex software development efforts.

Communication and Documentation

Document complex design choices and specifications in all phases so product documentation stays current, including underlying assumptions and restrictions.
Document software architecture, APIs, design decisions, and technical trade-offs.
Present technical proposals and design reviews to technical and non-technical stakeholders.
Ensure technical decisions and architectural rationale are traceable and maintained.

Requirements

Master degree with substantial general work experience, or equivalent working and thinking level.
Comprehensive job-related experience in the own expertise area to a fully competent level.
Seasoned designer within own competence.
Completed at least 1 Product Development Cycle.

Technical Expertise and Technologies

C#, .NET, .NET Framework, WPF, XAML, MVVM
NuGet package management and dependency versioning
Object-oriented design and software architecture; reusable components, frameworks, services, and APIs
Build and release environments; Continuous Integration and Continuous Deployment (CI/CD)
Source control and branching strategies
Application debugging, diagnostics, and root-cause analysis
Performance, scalability, reliability, and maintainability engineering
Automated testing and software quality practices
Cross-team technical alignment and architectural governance

Compensation and Location

Location: San Jose, CA (onsite)
Salary: USD 183,200 - 251,900 per year
Current base annual salary range: $183,200 - 251,900

Benefits

Medical, dental, vision, and basic life insurance
401k plan
Eight (8) hours of vacation leave every month
13 paid holidays throughout the calendar year
Reasonable accommodations to applicants for ASML employment and ASML employees with disabilities

6mo ago

Controls Design Engineer - 3426122

HRU Tech Lansing, MI

Lansing, MI

6mo ago Closed

$95k - $115k/yr Full time Electrical Engineering 3426122 Automation

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