Join Applied Intuition to build ML tools and infrastructure for next-generation self-driving vehicles in a dynamic team culture.
Posted by employer 11 months ago
First seen on Joblaze 1 month ago
Last verified on the company career page 1 day ago
AI in the day-to-day
Engineers build ML tools and infrastructure to enable large-scale E2E autonomy research.
Not disclosed in this posting: compensation, years of experience, visa sponsorship.
Benefits
Joblaze summary
In the role of Software Engineer for E2E Autonomy at Applied Intuition, the individual will focus on developing machine learning tools and infrastructure to support advanced autonomy research for self-driving vehicles. Proficiency in Python, Pytorch, and Kubernetes is essential, along with a strong foundation in software design and problem-solving skills. This position is ideal for experienced software engineers who are eager to engage with both research and production teams, contributing to a dynamic and innovative environment. The company emphasizes a collaborative culture where engineers are encouraged to take ownership of their projects.
Joblaze insights
Quick facts
From the original posting
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.
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
Technologies: Python, Pytorch, CUDA, Bazel, Kubernetes, Spark, Flyte
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
Bachelors, Masters or PhD degree in any field, or equivalent combination of education and work experience.
3+ years of experience in any field, or equivalent combination of education and experience
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
Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.
Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.
Standard company text repeated across Applied Intuition's postings is omitted here.
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