Senior Simulation Engineer - Machine Learning
Palo Alto, CA
- Pay
$140,000–230,000/year · BaseLocation-specific pay — pay source
Experience in the automotive and/or self-driving autonomy domain. For positions based in Palo Alto, CA, the base pay ranges from $140,000 -$230,000 a year. Your base salary is one part of your total compensation. We offer a base salary, short term and long term incentives, and a comprehensive benefits package. The total compensation offered to an employee will be dependent upon the individual's skills, experience, qualifications, location, and level.
Read the full posting- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingLead adoption and integration of machine learning techniques in simulation subsystems and workflows (e.g.
Partner with ADAS teams to improve the development and evaluation of ADAS software.
From the employer’s posting
RESPONSIBILITIES 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 generation core simulation technologies (e.g. agent frameworks, scenario engine, sensor simulation).
Architect and extend our next generation 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.
What you’ll bring
All qualificationsCore experience
- 5+ years of relevant work experience.
- Familiarity with recent breakthroughs in machine learning (e.g.
- Experience with machine learning frameworks such as PyTorch, Jax or Tensorflow
- Experience with building real-time systems (a requirement of simulations for driver assistance and hardware in the loop scenarios).
- Experience in machine learning workflows, such as data sampling and curation, pre-processing, model training, ablation studies, evaluation, deployment, inference optimization
- Experience with build systems, continuous integration, and/or continuous deployment (CI/CD).
Preferred experience
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field highly preferred.
- PyTorch preferred
Qualification wording
5+ years of relevant work experience.
Familiarity with recent breakthroughs in machine learning (e.g. foundation models, pre-training and efficient fine-tuning, multimodal Transformer architectures).
Experience with machine learning frameworks such as PyTorch, Jax or Tensorflow (PyTorch preferred).
Experience with building real-time systems (a requirement of simulations for driver assistance and hardware in the loop scenarios).
Experience in machine learning workflows, such as data sampling and curation, pre-processing, model training, ablation studies, evaluation, deployment, inference optimization
Experience with build systems, continuous integration, and/or continuous deployment (CI/CD).
Bachelor's or Master's degree in Computer Science, Engineering, or a related field highly preferred.
Tools in this posting
- Python
- Rust
- PyTorch
- TensorFlow
- C++
Source — Tool mentions in context
- 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.
- 5+ years of relevant work experience. - Experience with machine learning frameworks such as PyTorch, Jax or Tensorflow (PyTorch preferred). - Experience in machine learning workflows, such as data sampling and curation, pre-processing, model training, ablation studies, evaluation, deployment, inference optimization
Benefits in the posting
Full benefits wording- ・Excellent health, wellness, dental and vision coverage
- ・A rewarding 401k program
- Our Commitment
From the employer’s posting.
Job description
TEAM
The Automated Driving & ADAS organization focuses on developing a scalable, data-driven approach to autonomous and assisted driving software. We collaborate with partners across Toyota, offering numerous opportunities to integrate cutting-edge technology into consumer vehicles globally. To continuously improve and thoroughly test our driving systems, we build powerful developer workflows that leverage real-world data and state of the art in-house and third party simulation technologies. The simulation technologies we develop and integrate form the foundation of our virtual verification and validation efforts, enabling autonomy and ADAS stack development, regression testing, and model training.
WHO ARE WE LOOKING FOR?
The Simulation Core team is seeking an experienced Senior Simulation Engineer to lead the adoption and integration of advanced machine learning technologies, including world foundation models, into large‑scale simulation workflows. This role sits at the intersection of simulation and machine learning and will enable us to complement traditional simulation paradigms with workflows that enable large scale training and testing of machine learning-based autonomy stacks. By steering technical direction, collaborating with cross-functional teams, and mentoring developers, you will play a key role in evolving our critical AD/ADAS simulator tools.
RESPONSIBILITIES
-
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 generation 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.
MINIMUM QUALIFICATIONS
-
Bachelor's or Master's degree in Computer Science, Engineering, or a related field highly preferred.
-
5+ years of relevant work experience.
-
Experience with machine learning frameworks such as PyTorch, Jax or Tensorflow (PyTorch preferred).
-
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.
Employment type
Employee
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
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Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Experience in the automotive and/or self-driving autonomy domain. For positions based in Palo Alto, CA, the base pay ranges from $140,000 -$230,000 a year. Your base salary is one part of your total compensation. We offer a base salary, short term and long term incentives, and a comprehensive benefits package. The total compensation offered to an employee will be dependent upon the individual's skills, experience, qualifications, location, and level.
- Location & working pattern
Palo Alto, CA
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Apr 15, 2026
- Recorded sightings
- 207
- Last seen by us
- Oct 8, 2026
- Employer says posted
- Nov 17, 2025
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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