Autonomous Vehicle Engineer
Menlo Park, CA
Location/City : CA - Menlo Park
Area Code : 650
Job Type : 1: Full Time
Id : 23804
Autonomous Vehicle Engineer
Palo Alto, CA
Our client is an early stage autonomous vehicle startup that recently came out of stealth. Their deep learning approach to self-driving is uniquely data- and capital-efficient, allowing them to get to market quickly. Their team consists of researchers from top schools like Harvard, MIT, Stanford, and Caltech and engineers from companies like Google, Stripe, Quora, and more.
Their software is already available as an SDK, which has been purchased or deployed by 6 of the top 10 car manufacturers in the world. While their technology is being scaled to solve all of the subtasks and corner cases needed for L4 deployment, they market their software for partial autonomy in consumer vehicles. Their goal is to integrate the software you help build into millions of consumer vehicles in the coming years.
Develop sensor fusion, path planning, and control algorithms across the spectrum of L2+, L3, and L4 products and software demonstrations.
Develop new sensor fusion algorithms to integrate perception functionality into the driving system, focused on automotive-grade radar and lidar, including next-generation sensors.
Use cloud computing abstractions to design and implement algorithm validation software at scale, for testing new functionalities. Provide design guidance for effective simulation testing of algorithms.
Design software integration plans for OEM vehicles. Identify algorithmic changes needed for adapting to various sensor sets and middlewares.
Work with systems engineers to make the integrations a reality.
What We're Looking For
Master's degree with at least three years of industry experience, or PhD with at least one year of industry experience.
Fields of study: EE, MechE, CS, Physics.
Fluency in Python, familiarity with C++.
Experience with numerical algorithms in Matlab, Python, or Julia.
Preferred: Familiarity with real time / embedded operating systems.
Preferred: Prior experience with sensor fusion and path planning or related mathematical problems.
Preferred: Experience designing mathematical models for integrating noisy measurements to produce useful control signals.
Preferred: Engineering experience integrating numerical algorithms into embedded platforms as well as simulation test harnesses.
Work on one of the most interesting, impactful problems of the decade.
Time Off - 2 weeks of PTO + a paid company shutdown the last week of the year.
Daily Free Dinner.
Yearly company retreat - Partners are welcome to join!
Work from home & flex schedule options.
Subsidized Health Insurance - Out of pocket costs start as low as $16/month.
401k Management - Our employees love using Guideline to manage their investments.
Equipment - any ergonomic equipment you need at no cost.