Austin, TX

Engineer Jobs in Austin, TX

170 jobs found

Include remote jobs

Today

Graphics Design Verification Engineer

Apple Austin, TX

Austin, TX

Today

Full time Design Design Verification E Verification

Apply Now

Job Description

Apple’s GPU design effort depends on rigorous pre-silicon validation, especially for low power embedded graphics cores. As a Graphics Design Verification Engineer in Austin, TX (onsite), you’ll help ensure complex logic blocks meet functional goals by building, running, and refining verification across simulation and silicon.

What you’ll do

Own top-level verification for logic blocks within graphics processing unit (GPU) designs.
Execute test plan items and provide clear status updates.
Port and update legacy test bench components written in SystemVerilog and UVM, including checkers and monitors.
Create top-level tests to validate chip level features.
Enable, maintain, and troubleshoot regressions as designs evolve.
Modify and maintain test benches and BFMs (bus functional models).
Implement stimulus and analyze coverage to drive verification closure.
Debug both simulation and silicon GPU failures.
Collaborate closely with design and micro-architecture teams to understand functional objectives.
Develop scripts for software engineering flows to support verification workflows.

What you bring

BS required.
Experience with Object Oriented Programming languages.
Programming experience in C or C++.
Experience with Verilog or other HDLs.

Tools and technologies you’ll use

System Verilog, UVM, Verilog, HDLs, C, C++, Perl, Shell scripting, Makefiles, TCL, and verification/simulation and tooling such as IES, VCS, DVE, Verdi, plus Perforce.

Preferred qualifications

Knowledge of GPU architectures.
Understanding of CPU architectures.
Familiarity with verification language such as SystemVerilog/UVM/OVM.
Experience with HDL simulators and waveform viewers including IES, VCS, DVE, Verdi.
Understanding of constrained random verification, functional/code coverage, and assertion methodology.
Familiarity with Perl, Shell scripting, Makefiles, TCL.
Prior exposure to code repositories such as Perforce.
Ability to work well on a team with a strong focus on learning from others.

View full job page →

Today

Graphics Design Verification Engineer

Apple Austin, TX

Austin, TX

Today

Full time Design Verification Hardware Engineer Hardware Verification

Apply Now

Job Description

Graphics Design Verification Engineer role focusing on pre-silicon RTL verification for low power embedded graphics cores within Apple SoC/GPU design efforts.

Responsibilities

Own top-level verification for logic blocks in GPU designs
Write, run, and track progress against test plans
Build testbench components in SystemVerilog and UVM, including checkers and monitors
Create top-level tests to validate chip-level features
Enable, maintain, and support regressions
Write and maintain test benches and BFMs
Generate stimulus and implement/analyze coverage
Debug simulation and silicon GPU failures
Partner with design and micro-architecture teams to align on functional goals
Coordinate verification across DV scopes with multi-functional teams
Develop scripts for software engineering flows

Requirements

BS + 3 years of relevant experience
Knowledge of CPU or GPU architectures
Experience with Verilog or other HDLs
Verification language experience: SystemVerilog/UVM/OVM
Experience using HDL simulation tools and waveform viewers: IES, VCS, DVE, Verdi

Technologies

System Verilog
Universal Verification Methodology (UVM)
OVM
Verilog
IES
VCS
DVE
Verdi
Perl
Shell scripting
Makefiles
TCL
Perforce

Preferred Qualifications

Experience working with GPU architectures
Understanding of constrained random verification, functional/code coverage, and assertion methodology
Experience developing UVM testbench components, including checkers and monitors
Familiarity with Perl, Shell scripting, Makefiles, TCL
Exposure to code repositories such as Perforce
Ability to collaborate effectively with teams across verification efforts

Location: Austin, TX (onsite)

Employment type: Not specified

View full job page →

Today

Graphics Design Verification Engineer

Apple Austin, TX

Austin, TX

Today

Full time Design Tools Design Verification GPU

Apply Now

Job Description

The Graphics Design Verification Engineer will spearhead pre-silicon RTL verification for logic blocks inside low power embedded graphics cores as part of Apple’s GPU design efforts. This onsite role in Austin focuses on building and running UVM/SystemVerilog verification environments, coordinating execution and tracking, and resolving simulation and silicon issues.

Responsibilities

Lead top-level verification teams for logic blocks within graphics processing unit (GPU) designs.
Own the overall development, execution, and tracking of the team’s test plans.
Architect test bench methodology using Universal Verification Methodology (UVM) and SystemVerilog components.
Build verification stimulus, define coverage strategy, and develop regression plans.
Own and maintain test benches and bus functional models (BFMs).
Debug simulation and silicon GPU failures, including complex design and environmental issues.
Coordinate verification efforts through discussions with design and micro-architecture teams, and with other cross-functional teams.
Generate and present weekly status updates to the GPU leadership team.

Requirements

BS + 10 years of relevant experience.
Background in CPU or GPU architectures.
Experience working with Verilog or other HDLs.
Experience architecting test benches with SystemVerilog and UVM/OVM.
Experience with constrained random verification, functional and code coverage, and assertion methodology.
Experience debugging complex design and environmental issues.

Preferred Qualifications

Ability to manage multiple priorities under strict schedule deadlines.
Expertise in GPU architectures.
Experience with HDL simulators and waveform viewers including IES, VCS, DVE, and Verdi.
Experience with Perl, Shell scripting, Makefiles, and TCL.
Ability to work well on teams with experience collaborating across technical disciplines.

Required Education

Location and Work Mode

Austin, TX (onsite)

Skills and Tools

Universal Verification Methodology (UVM), System Verilog, Verilog, OVM
IES, VCS, DVE, Verdi
IES, VCS, DVE, Verdi (waveform viewing and simulation)
Perl, Shell scripting, Makefiles, TCL

View full job page →

Today

Sr Analytics Engineer, Retail Data Products

Apple Austin, TX

Austin, TX

Today

Full time Python Analytics Apache Airflow

Apply Now

Job Description

Apple’s Retail Store Analytics team is looking for a Sr Analytics Engineer in Austin, TX to help build scalable dashboards and data products that support data-driven decisions across Retail Operations. In this role, you will connect data and AI to improve how store teams access insights, including AI-driven conversational data tools.

You will work closely with Product Management, Data Science, Engineering, and Operations to plan and deliver an extensive reporting roadmap. The focus is on creating decision support that is dynamic, intuitive, and usable by teams across Apple Retail.

What You’ll Do

Create tools that enable data-driven decision-making across Apple Retail Operations.
Partner cross-functionally to build and refine scalable dashboards and data products that delight users.
Develop a centralized hub of canonical dashboards and AI-driven conversational data tools for decision support.
Help shape the future direction of Retail Operations by integrating data and AI to delight customers and empower store employees.
Manage delivery of an extensive reporting roadmap as part of a team.

Core Qualifications

6+ years experience building analytics pipelines in a production development environment for modeling, analysis, and reporting.
6+ years coding in SQL or PySpark and Python.
6+ years building and maintaining dashboards in Tableau, PowerBI, or Looker with hundreds of users.
Ability to initiate, refine, and complete projects with minimal guidance.
Ability to think critically and collaborate cross-functionally to distill abstract requirements into clear data products for data engineering, data science, and analytics stakeholders.
Bachelor’s degree in a relevant field (Engineering, Data Science, Business) or equivalent experience.

Tools and Technologies

SQL, PySpark, Python
Tableau, PowerBI, Looker
Snowflake SQL, Airflow, dbt, Cube
LookML, Tableau viz extensions

Preferred Qualifications

Experience building analytics pipelines in production development environments, ideally with Snowflake SQL or PySpark, and tools like Airflow and dbt.
3+ years managing semantic layers in tools like Cube, dbt, Snowflake, or LookML.
3+ years developing reusable data visualization assets like Tableau viz extensions.
3+ years experience working with retail data.
Master’s degree in a relevant field (Engineering, Data Science, Business) or equivalent experience.

Location: Austin, TX (onsite)

View full job page →

Today

Sr. Data Engineer, iCloud Insights Engineering

Apple Austin, TX

Austin, TX

Today

Full time Senior Big Data Data

Apply Now

Job Description

Senior Data Engineer role supporting Apple’s iCloud Insights Engineering in Austin, TX with onsite collaboration.

Responsibilities

Build and maintain complex data pipelines and data models at scale
Query, manipulate, and analyze internet-scale data structures and very large datasets
Develop and apply data engineering tools and concepts, including pipeline development, data model design, and aggregation strategies for analytics and reporting
Translate complex data concepts for diverse audiences across product, business, and engineering stakeholders

Requirements

5+ years of experience in data engineering or business intelligence roles
Demonstrated expertise building and maintaining complex data pipelines and data models at scale
Strong proficiency with SQL
Proven ability to query, manipulate, and analyze internet-scale data structures and very large datasets
Advanced proficiency with Python or similar languages
Experience with distributed computing frameworks (example: Spark) for complex data manipulation and analytics
Demonstrated experience with data engineering tools and concepts, including pipeline development, data model design, and aggregation strategies for analytics and reporting
Exceptional written and verbal communication, including translating complex data concepts for product, business, and engineering stakeholders
Strong time management skills to balance multiple projects with competing priorities
BS in Computer Science, Statistics, Mathematics, Information Systems, Engineering, Economics, or a related field

Technologies

SQL
Python
Spark

Preferred Qualifications

Experience in a fast-paced technology company, digital subscription business, or e-commerce platform, navigating complex data ecosystems
Familiarity with data governance, data quality frameworks, or metadata management concepts
MS in Computer Science, Statistics, Mathematics, Information Systems, Engineering, Economics, or a related field

View full job page →

Today

Operations Data Engineer

Apple Austin, TX

Austin, TX

Today

Full time Ai/ml Data Engineering Artificial Intelligence Data

Apply Now

Job Description

An Operations Data Engineer at Apple will help design and build modern, scalable data infrastructure that supports analytics, machine learning, and AI-driven decision-making across Operations. The role spans end-to-end pipelines, data modeling, orchestration and observability, and production AIML workflows.

Responsibilities

Partner with business and analytics teams to understand data needs and translate requirements into robust, scalable engineering solutions that influence Operations decisions
Design and implement end-to-end data pipelines and architectures across ingestion, transformation, and delivery for batch and real-time streaming workloads
Develop and maintain high-quality data models, including dimensional, relational, and knowledge graph-based approaches, using modern transformation frameworks such as dbt
Architect and run data workflows using orchestration tools such as Apache Airflow, including monitoring, alerting, and SLA management
Implement data observability, lineage tracking, and validation frameworks to maintain data integrity and trust across the platform
Collaborate with Data Scientists, ML Engineers, Software Engineers, and Analysts to operationalize models and ensure infrastructure supports production AIML workflows
Work with infrastructure and platform teams to manage cloud-native data environments using Snowflake, Spark, and open table formats such as Delta Lake and Apache Iceberg, with emphasis on performance, cost efficiency, and scalability
Use AI-assisted development tooling (including GitHub and Claude) and LLM-powered agents to accelerate pipeline authoring, code review, documentation, and transformation logic generation from natural language specifications
Apply DataOps practices including CI/CD, version control, automated testing, and containerization with Docker and Kubernetes to deliver reliable, production-grade data products
Adopt a data product mindset that enables self-serve analytics and reduces bottlenecks for downstream consumers
Tune query performance, partitioning strategies, and storage optimization for data at scale in cloud warehouses and lakehouses
Create and maintain technical documentation, including data dictionaries, lineage diagrams, and architecture decision records
Explain data infrastructure capabilities, health metrics, and architectural recommendations to senior leadership in clear, non-technical terms
Research and evaluate emerging data engineering technologies, including streaming architectures, GenAI-powered data tooling, and next-generation warehousing to improve team capabilities

Requirements

MS in Computer Science, Data Engineering, Statistics, Applied Math, Data Science, Operations Research, or related field and 8+ years of industry experience, or BS in a related field with 10+ years of hands-on industry experience
Domain expertise in supply chain, operations management, logistics, planning and forecasting, production integration, and channel management
Proven experience building and operating large-scale ETL/ELT pipelines with Python, SQL, and modern frameworks including dbt, Spark, and Kafka/Flink
Proficiency with cloud data platforms (such as Snowflake) and open table formats including Delta Lake and Apache Iceberg
Strong advanced SQL skills for complex data modeling, query optimization, and analytics engineering
Experience with workflow orchestration tools such as Apache Airflow (or equivalent) and delivering production-grade monitored pipelines
Hands-on implementation experience for data quality frameworks, observability tooling, and data lineage tracking in production environments
Experience implementing and productionalizing GenAI and Agentic AI tooling, including LLM-assisted code generation, MCP servers, and AI-powered data pipeline automation
Experience with data visualization and self-service analytics platforms (such as Tableau, Streamlit, ThoughtSpot) and ability to build lightweight front-end data products
Track record of adopting industry best practices, integrating emerging technologies (including vector databases, RAG pipelines, and AI-native data tools), and building functional prototypes to validate concepts

Technologies

Python, SQL, dbt, Spark, Kafka, Flink, Snowflake
Delta Lake, Apache Iceberg, Apache Airflow
GitHub, Claude, LLM-powered agents
Docker, Kubernetes
Tableau, Streamlit, ThoughtSpot
MCP servers, vector databases, RAG pipelines

Preferred Qualifications

Ability to work in a fast-paced, iterative environment and deliver projects under timeline pressure
Strong bias toward experimentation and continuous learning, with innovative thinking for reporting, business analytics, and AI-powered automation
Exceptional ability to communicate complex data architecture decisions to both technical peers and non-technical senior stakeholders
Strong interpersonal and collaboration skills for cross-functional partnership, knowledge sharing, and incorporating diverse feedback
Self-sufficient working style in environments with autonomy and ambiguity, with a bias for action and careful attention to data integrity

View full job page →

Today

Software Engineer

TEXAS RESEARCH INSTITUTE AUSTIN INC Austin, TX

Austin, TX

Today

Full time Python Computer Skills Data Analysis

Apply Now

Job Description

Work on research-grade software in a focused onsite environment

At TEXAS RESEARCH INSTITUTE AUSTIN INC, you will help develop and improve software tools that support the processing, analysis, and management of complex scientific and engineering data. This role centers on strengthening an internally developed engineering codebase, with an emphasis on usability, maintainability, and deployment for ongoing research projects. The position is based onsite at our Austin facility (remote work is not available), giving you direct collaboration opportunities with the team.

Responsibilities

Partner with other software developers to enhance an existing internally developed engineering codebase primarily written in Python, C, and C++
Increase code usability, maintainability, and deployment across ongoing research efforts
Support the software needs of continuing research and engineering projects

Requirements

Proficiency in software development using C, C++, and Python
Experience developing graphical user interfaces (GUIs)
Ability to develop and support applications in both Windows and Linux environments
Bachelor's or Master's degree in Computer Science
Eligibility to obtain a U.S. Department of Defense (DoD) security clearance

For clearance details, review: https://www.dss.mil/ma/tw/dvd/vroc/faqs/

Technologies

Python, C, C++
Windows, Linux

Preferred qualifications

Software development in environments meeting Cybersecurity Maturity Model Certification (CMMC) Level 2 requirements
Strong foundation in mathematics
Computer graphics and graphics programming
Algorithm design and development
GPU programming and optimization
Hardware-software integration, including data acquisition, motion control, and automation
Integration with third-party software and APIs
Software architecture, design patterns, and modern optimization techniques
Computer vision
Digital signal processing (DSP)

Location

Austin, TX (onsite). Remote work is not available.

Video pre-screening

TRI Austin strongly encourages applicants to complete a brief video pre-screening through Hireflix to introduce themselves and highlight their qualifications.