Software Engineer - E2E Autonomy

Applied Intuition; Sunnyvale (CA); On-site; USD 153,000 - 222,000; Full time

Benefits offered by this job

Equity options

Health insurance

401k retirement benefits

Paid time off

Job summary

Applied Intuition in Sunnyvale, California, is seeking a skilled engineer to contribute to next-generation AI Research. This role will focus on building tools and infrastructure that support autonomy research and self-driving vehicle development.

The ideal candidate will have strong software design skills and the capability to work across the entire end-to-end autonomy stack, closely collaborating with both research and engineering teams.

Compensation includes a salary range of $153,000 - $222,000 annually, along with equity and benefits.

Qualifications

• Ambition to contribute up and down the ML stack.
• Strong fundamental skills in software & module design.
• Ability to tackle chaotic situations with libraries & abstractions.

Responsibilities

• Build tools and infrastructure for E2E autonomy research.
• Work with AI research and engineering teams for self-driving software.
• Identify bottlenecks in GPU compute and data volume scaling.

Skills

Software generalist experience

Software & module design

Analytical and problem-solving skills

Tools

Python

PyTorch

CUDA

Bazel

Kubernetes

Spark

Flyte

Job description

About Applied Intuition

Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition serves the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co.

The Role

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.

At Applied Intuition, You Will

• 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

We're Looking For Someone Who Has

• 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 Have

• 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.

Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $153,000 - $222,000 USD annually.

Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.

Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.