Software Engineer, Simulation Applied ML
Mountain View, California (HQ)
Nuro, Inc.
Less driving. More thriving. Nuro autonomous, zero-occupant vehicles are making more possible—today.Who We Are
Nuro exists to better everyday life through robotics. We have an elite team of entrepreneurs and engineers, designers, and scientists. We believe AI and robotics are at the cusp of transforming daily life and we are dedicated to building meaningful products with this technology. Join us and play a critical role in our mission.
About the Role
Simulation is at the core of autonomy safety validation and software iteration. Autonomy engineers use simulation to improve their algorithms, and our Safety team uses simulation to validate our autonomy software for real-world deployment.
You will be responsible for developing, improving, and maintaining ML components that are used to measure and improve signal quality in simulation workflows.
Initially, you will work closely with one of our Simulation teams looking to apply ML to simulation interpretation and the scope may potentially increase over time to include other simulation use cases, where applied ML can be helpful.
Ideally, you should have some experience with simulation, robotics, safety and validation. Depth or even prior experience in these areas is not a requirement, however, you need to have a good intuition when it comes to ML and simulation result evaluation.
About the Work
You will work closely with the ML Research team and should have experience with ML pipelines (data preparation, testing, infra) and hands-on experience in transferring research models into production. Modeling experience and a deep understanding of ML fundamentals are a plus but are not a requirement since we expect members of the ML Research team to do the foundational work (at least at first) and mentor you as needed.
About You
- 4+ years of experience working in the software industry or related experience OR 2+ years with a PhD.
- Understand ML pipelines (data preparation, testing, infrastructure)
- Hands-on experience in transferring research models into production (preferably TensorFlow)
- 2+ years of experience with C++ and Python
- Basic understanding of ML concepts: Supervised learning, time series
Bonus Points
- Experience training larger production models (e.g., Multi-GPU)
- “Integration experience” - ability/background in working with robotics or simulation systems, practical real-world considerations in design/implementation
You must be fully vaccinated against COVID-19 by your hire date to be eligible to start the role. Proof of vaccination will be required by your start date. Nuro will consider and review accommodation requests based on medical, religious, or other grounds as required by applicable law for qualified candidates.
Tags: GPU Machine Learning PhD Pipelines Python Research Robotics TensorFlow Testing
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