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# Senior Simulation Engineer - Machine Learning in Palo Alto

- **Company:** Energy Jobline
- **Location:** Palo Alto, CA, United States
- **Experience:** Expert
- **Salary:** $140,000.0 - $230,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, C++ (Programming Language), Cloud Computing, Computer Programming, Continuous Delivery, Continuous Integration, Python (Programming Language), Machine Learning, Tensorflow, Software Engineering, Real Time Systems, Pytorch, Multi-Agent Systems, Information Technology, Build Tools, Machine Learning Operations
- **Published:** September 4, 2026
- **Apply:** https://www.energyjobline.com/job/senior-simulation-engineer-machine-learning-palo-alto-31473597

## About the Role

* Bachelor's or Master's degree in Computer Science, Engineering, or a related field highly .
 * 5+ years of relevant work experience.
 * Experience with machine learning frameworks such as PyTorch, Jax or Tensorflow (PyTorch ).
 * Experience in machine learning workflows, such as data sampling and curation, pre-processing, model training, ablation studies, evaluation, deployment, inference optimization
 * Strong programming skills in Python, Rust or C++.
 * Proven track record crafting well-designed, impactful solutions within allotted time and resource constraints.
 * Ability to think, design, and code for both the user's and simulator developer's perspectives.
 * An infectious self-driven passion for solving complex problems while learning new techniques and technologies!

NICE TO HAVES

 * Familiarity with recent breakthroughs in machine learning (e.g. foundation models, pre-training and efficient fine-tuning, multimodal Transformer architectures).
 * Experience with building real-time systems (a requirement of simulations for driver assistance and hardware in the loop scenarios).
 * Experience with build systems, continuous integration, and/or continuous deployment (CI/CD).
 * Experience in the automotive and/or self-driving autonomy domain.

## Description

Our work centers on four pillars: AD/ADAS, our autonomous driving and advanced driver assist technologies; Arene, our software development platform for software-defined vehicles; Woven City, a test course for mobility; and Cloud & AI, the digital infrastructure powering our collaborative foundation. Business-critical functions empower these teams to execute, and together, we're working toward one bold goal: a world with zero accidents and enhanced well-being for all., * Lead adoption and integration of machine learning techniques in simulation subsystems and workflows (e.g. scenario creation, reactive agents and sensor/vehicle/intersection/world modeling).

 * Architect and extend our next core simulation technologies (e.g. agent frameworks, scenario engine, sensor simulation).
 * Partner with ADAS teams to improve the development and evaluation of ADAS software.
 * Help set the team roadmap to support the growing landscape of ADAS customers and use cases.
 * Demonstrate good design practices; alignment with stakeholders before, during, and after implementation is essential.


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