Optimization

Optimization Engineer Jobs

2 jobs found

1mo ago

Power Systems Software Engineer - Optimization

Siemens Schenectady, NY

Schenectady, NY

1mo ago Closed

$100k - $207k/yr Full time Electrical Engineering Optimization Power System Simulation

This position is no longer accepting applications (closed Jul 2, 2026).

Job Description

Siemens Grid Software offers an onsite opportunity in Schenectady, NY for a Power Systems Software Engineer focusing on Optimization. Based in the New York Capital Region, you will collaborate daily with engineers to maintain and enhance the PSS E power systems simulation platform and to develop optimization algorithms. This role emphasizes hands-on collaboration, impactful work on grid analysis, and the use of modern development practices.

Compensation ranges from USD 100,450 to USD 206,640 per year. The position is based onsite in Schenectady, NY, with the chance to work closely with a multidisciplinary Grid Simulation software development team and contribute to significant power systems modeling efforts.

Responsibilities

Develop and maintain mathematical algorithms for power system simulation and optimization.
Collaborate with the Grid Simulation software development team to design, implement, test, and document software using SAFe, Jira, Confluence, and Git.
Implement primarily in C, C++, and Fortran, applying object‑oriented and functional programming techniques to accelerate power system modeling.
Create robust tests to evaluate performance, correctness, and usability of the software.
Provide estimates and analysis for development tasks and project planning.
Stay current with new developments in power system analysis, modeling, and optimization.

Requirements

Bachelor of Science or higher in Computer Science, Mathematics, Data Science, Computer Engineering, Physics, or a related field with knowledge of mathematical optimization and software engineering.
Proven ability to develop robust software and deliver quality code.
Experience developing in Fortran, C, or C++; Python is a strong plus due to a multi‑language codebase.
Bachelor’s degree with 2+ years of professional software development experience, or a graduate degree with hands‑on coding experience.
Completion of a Siemens software development internship.
Ability to travel up to 10% of the time.
Experience developing on Microsoft Windows operating systems.
Familiarity with automated software build processes and environments.
Experience using Visual Studio and Visual Studio Code.
Experience using git for source control, preferably GitLab.
Strong communication and presentation skills in English, both written and verbal.
Excellent organizational skills and the ability to manage multiple tasks concurrently.
Collaborative teammate with solid interpersonal skills and the ability to work independently.

Technologies

PSS E; languages: C, C++, Fortran, Python
Development tools: Visual Studio, Visual Studio Code, Git, GitLab, Jira, Confluence
Methodologies: Scaled Agile Framework (SAFe)

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1mo ago

Sr. Software & Machine Learning Engineer, Energy Optimization

Tesla Palo Alto, CA

Palo Alto, CA

1mo ago Closed

$140k - $300k/yr Full time Senior Analytics Big Data

This position is no longer accepting applications (closed Jun 27, 2026).

Job Description

Responsibilities

Develop and maintain scalable machine learning models and algorithms for energy storage forecasting, demand modeling, and system optimization, including demand response and grid integration.
Design and deliver new features for customer‑facing applications to improve the user experience.
Streamline deployment workflows through CI/CD, containerization, and infrastructure management to ensure reliable operations and efficient updates.
Collaborate with cross‑functional teams to integrate software components into Tesla’s ecosystem for seamless deployment and operation.
Build and maintain robust pipelines for training, evaluating, and deploying ML models in production, ensuring reliability and efficiency.
Contribute to monitoring and simulation systems to support software reliability and scalability.
Identify and resolve performance bottlenecks related to infrastructure, memory usage, and runtime efficiency.
Communicate technical concepts clearly to non‑technical stakeholders to align development with business goals.

Requirements

Degree in Computer Science, Engineering, or equivalent experience
Strong proficiency in Python and Linux environments; knowledge of Go or Rust is a plus.
Proven experience developing and deploying scalable software systems, including production‑level code and real‑world performance optimization.
Experience with cloud and big data technologies such as AWS, Spark, Airflow, and Kubernetes.
Experience with CI/CD pipelines and automating software deployment processes (eg, GitHub Actions).
Familiarity with optimization techniques, machine learning, and time‑series forecasting is highly valued.
Excellent communication skills and the ability to collaborate within cross‑functional teams.
Experience in energy solutions, battery control systems, and a passion for sustainability and clean energy solutions.
Hands‑on experience with optimization techniques, time‑series forecasting, and ML model development focused on energy storage and grid applications is a plus.
Experience managing containerized applications in embedded or firmware environments and optimizing resource usage (memory, CPU) for efficiency in constrained systems is a plus.

Technologies

Python
Linux
Go
Rust
AWS
Spark
Airflow
Kubernetes
GitHub Actions

Benefits

Medical plans with options requiring no payroll deduction
Family-building, fertility, adoption and surrogacy benefits
Dental (including orthodontic coverage) and vision plans with zero employee contributions
Company‑paid HSA contributions when enrolled in a high‑deductible health plan
Healthcare and Dependent Care Flexible Spending Accounts (FSA)
401(k) with employer match, Employee Stock Purchase Plan, and other financial benefits
Company‑paid Basic Life and AD&D insurance
Short‑term and long‑term disability insurance with a 90‑day waiting period
Employee Assistance Program
Sick leave, vacation time, and paid holidays (flex time for salary roles; accrued hours for hourly roles)
Back‑up childcare and parenting support resources
Voluntary benefits including critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
Weight loss and tobacco cessation programs
Tesla Babies program
Commuter benefits
Employee discounts and perks program

What to Expect

Opticaster’s mission is to accelerate the world’s transition to sustainable energy by optimizing how batteries are charged and discharged to maximize value for customers and the grid. The role centers on advanced algorithms that determine the best times to store and use energy, accounting for electricity prices, solar generation, and grid conditions. These optimizations power Tesla’s energy products, including Megapacks, Powerwalls, Virtual Power Plants, and microgrids.

Expected Compensation

Salary range: $140,000 - $300,000 per year, plus cash and stock awards and benefits. The final offer may vary based on location, job‑related knowledge, skills, and experience, and may include additional elements described in an employment offer.

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Optimization Engineer Jobs

Power Systems Software Engineer - Optimization

Sr. Software & Machine Learning Engineer, Energy Optimization

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