2 дня назад
Senior Software Engineer, Perception ML (Autonomous Driving)
193 930 - 291 150$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Engineer, Perception ML (Autonomous Driving): Developing and improving perception models for Level 4 autonomous driving using real sensor data, 3D representations, and applied machine learning with an accent on scene understanding, cross-geography generalization, and onboard inference performance. Focus on designing architectures and losses, running controlled experiments and ablations, diagnosing model failures, and converting sensor-data analysis into targeted improvements for rare driving scenarios.
Location: Mountain View, California, United States
Salary: $193,930–$291,150 per year, plus annual performance bonus, equity, and benefits.
Company
develops Level 4 autonomous driving technology and a universal autonomy platform for robotaxis, logistics fleets, personal vehicles, and other mobility applications.
What you will do
- Develop and improve perception models using real sensor data, including 3D and spatial representations.
- Own model architecture, representation choices, loss design, training, and evaluation.
- Design controlled experiments and ablations to validate model improvements and understand model behavior.
- Diagnose failures across modeling, supervision, training data, and optimization.
- Improve generalization across sensor platforms, geographies, and rare driving scenarios while meeting model-quality and onboard-runtime requirements.
- Collaborate with autonomy, ML data infrastructure, and infrastructure engineers to deliver targeted perception improvements.
Requirements
- Bachelor’s degree in Computer Science, Robotics, Statistics, Physics, Mathematics, or another quantitative field.
- 4+ years of industry software engineering experience.
- Fluency in Python and familiarity with C/C++.
- Hands-on experience developing, training, debugging, and improving machine learning models.
- Experience in perception, or evidence of rapidly building expertise and delivering substantive machine learning results in new domains.
- Ability to lead cross-functional technical projects from design through completion.
Nice to have
- Experience with occupancy, 3D scene understanding, or onboard perception models.
- Familiarity with synthetic data or autonomous driving data.
Culture & Benefits
- Work on applied machine learning for autonomous vehicles and physical AI.
- Annual performance bonus, equity, and a competitive benefits package.
- Inclusive workplace focused on diversity and psychological safety.
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