Software Engineer - E2E Autonomy
About The Position
Applied Intuition is pushing the frontier of autonomy and vehicle intelligence through next-generation AI Research. In this role, you will enable this research effort by building ML tools, infrastructure, managing large datasets, and addressing challenges across the entire end-to-end (E2E) autonomy stack. Join our research and production teams in creating the next generation of self-driving vehicles. Here at Applied, we encourage all engineers to take ownership over technical and product decisions, closely interact with external and internal users to collect feedback, and contribute to a thoughtful, dynamic team culture.
Requirements
- Exceptional software generalist experience with ambition to contribute up and down the ML stack, onboard the vehicle, and in the cloud
- Strong fundamental skills in software & module design: can tame chaos with libraries & abstractions
- Rapid analytical and problem-solving skills
Nice To Haves
- Strong multi-language build system knowledge
- Distributed systems/compute (e.g. k8s, cloud-managed services at scale)
- ML infra fluency - has used and/or contributed to ML and large data systems
Responsibilities
- Build tools and infrastructure to enable large-scale E2E autonomy research led by Dr. Wei Zhan
- Work directly with both AI research and engineering teams to productionize next generation self-driving software
- Help scale end-to-end training by identifying bottlenecks, especially as we continue to scale our GPU compute, onroad data volume, curation efforts, and eval systems
Benefits
- comprehensive health, dental, vision, life and disability insurance coverage
- 401k retirement benefits with employer match
- learning and wellness stipends
- paid time off
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
