Software Engineer, ML Platform (ML Serving)
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Job Location:
Foster, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
22 hours ago
Vacancies:
1 Vacancy
Job Summary
The Opportunity
Would you like to enable ML use cases for enabling autonomous driving scene understanding and automated mapping at Zoox This role works across all ML teams within Zoox - Perception Behavior ML Simulation Data Science Collision Avoidance as well as with our Advanced Hardware Engineering group specifying our next generation of autonomous hardware. You will significantly push the boundaries of how ML is practiced within Zoox.
We build and operate the base layer of ML tools deep learning frameworks inference libraries and ML infrastructure used by our applied research teams for in- and off-vehicle ML use cases. We coordinate across all of Zoox to make sure that the needs of both the vehicle and ML teams are met. You will play a crucial role in reducing the time it takes from ideation to productionization of cutting-edge AI innovation. This team has a lot of growth opportunities as we expand our robotaxi deployments and venture into new ML domains. If you want to learn more about our stack behind autonomous driving please look here.
In this role you will:
- Build the off-vehicle inference service powering our Foundational models (LLMs & VLMs) and the models that improve our rider experiences.
- Lead the design implementation and operation of a robust and efficient ML serving infrastructure to enable the serving and monitoring of ML models.
- Collaborate closely with cross-functional teams including ML researchers software engineers and data engineers to define requirements and align on architectural decisions.
- Enable the junior engineers in the team to grow their careers by providing technical guidance and mentorship
Qualifications
- 4 years of ML model serving infrastructure experience
- Experience building large-scale model serving using GPU and/or high QPS low latency serving use cases.
- Experience with GPU-accelerated inference using RayServe vLLM TensorRT Nvidia Triton or PyTorch.
- Experience working with cloud providers like AWS and working with K8s
$189000 - $258000 a year
There are three major components to compensation for this position: salary Amazon Restricted Stock Units (RSUs) and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling as well as positioning within a level is determined by a range of factors including but not limited to a candidates relevant years of experience domain knowledge and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.
Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave vacation bereavement) unpaid time off Zoox Stock Appreciation Rights Amazon RSUs health insurance long-term care insurance long-term and short-term disability insurance and life insurance.
About Zoox
Zoox is developing the first ground-up fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics machine learning and design Zoox aims to provide the next generation of mobility-as-a-service in urban environments. Were looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
Accommodations
If you need an accommodation to participate in the application or interview process please reach out to emailprotected or your assigned recruiter.
A Final Note:
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
IC
Key Skills
- Spring
- .NET
- C/C++
- Go
- React
- OOP
- C#
- Data Structures
- JavaScript
- Software Development
- Java
- Distributed Systems
About Company
We’re reinventing personal transportation—making the future safer, cleaner, and more enjoyable for everyone. This is on-demand autonomous ride-hailing.
