3 дня назад
Simulation Software Engineer (C++/Python)
209 000 - 310 000$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Simulation Software Engineer (C++/Python) (Autonomous Driving Simulation): Developing production-quality simulation components for an end-to-end autonomous driving stack with an accent on high-scale open-loop evaluation, component integration, and reproducibility. Focus on tracing on-road versus simulated behavior, improving observability and performance, and supporting reliable large-scale evaluation workloads.
Location: Sunnyvale, California, USA; hybrid working model with in-person collaboration
Salary: $209,000–$310,000 estimated base salary, plus equity
Company
is building an AI platform for autonomous driving, using an end-to-end, mapless and hardware-agnostic approach to help vehicles learn from real-world experience.
What you will do
- Develop and maintain production-quality simulation components in modern C++ and Python.
- Integrate driving-stack components, simulated robot systems, and new vehicle platforms into a shared simulation environment.
- Support and test open-loop and closed-loop simulation workflows, initially focusing on high-scale open-loop evaluation.
- Investigate differences between on-road and simulated execution across interfaces, data flows, timing, configuration, and failure modes.
- Improve testing, observability, reproducibility, reliability, debuggability, developer tooling, and simulator performance.
- Collaborate with Simulation, Robotics, Autonomy, Evaluation, Platform, and Data teams.
Requirements
- Professional experience developing, delivering, and maintaining production software in a collaborative engineering environment.
- Strong software development skills in C++ and Python, with depth in at least one language and effective working ability in the other.
- Experience integrating and debugging components in complex software systems across interfaces, data flows, timing, and failure modes.
- Experience with simulation in robotics or autonomous vehicles, or transferable experience in another complex systems domain.
- Experience integrating ML components such as PyTorch models, CUDA, or QNN.
- Strong software engineering fundamentals, including testing, maintainability, code review, observability, profiling, and performance measurement.
Nice to have
- Experience with middleware, sensor data, distributed-system debugging, batch processing, cloud infrastructure, or GPU workloads.
- Exposure to world models, NeRF, Gaussian splatting, or learned graphics.
Culture & Benefits
- Hybrid work in the Sunnyvale office with core hours and hands-on access to vehicle workshops and labs.
- Market-benchmarked salaries and meaningful equity.
- Relocation support and visa sponsorship where applicable.
- Learning and development budgets for training, conferences, and professional growth.
- Health, dental, retirement or pension, enhanced parental leave, therapy access, wellbeing partnerships, and team socials where applicable.
Hiring process
- Initial recruiter call lasting approximately 30 minutes.
- Programming and hiring-manager interviews lasting approximately two hours in total.
- Deep-dive technical interviews covering programming, systems, and domain-specific topics, followed by a final mission and values interview.
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