Senior / Staff Software Engineer - Perception 3D Tracking at Zoox

Sharkey; Foster City (CA); On-site; USD 180,000 - 260,000; Full time

Job summary

Zoox is seeking a Senior/Staff Software Engineer for Perception 3D Tracking. You will help define the on-vehicle architecture to produce core tracking results, collaborating with ML model and optimization teams to deliver a fast, efficient system for vehicle deployment.

You will work with perception data as inputs and outputs of ML models, and integrate tracking outputs into the Autonomy stack's behavioral system, enabling robust scene understanding and tracking capabilities.

Qualifications

• BS or higher in Computer Science or related field required.
• Fluency in C++ and Python.
• Experience implementing tracking systems.
• Strong mathematical skills and understanding of probabilistic techniques.

Responsibilities

• Define on-vehicle architecture for producing core tracking results from the Perception stack.
• Collaborate with model and optimization teams to build a fast, efficient system for vehicle deployment.
• Work with Perception data both as input and output of ML models.
• Integrate tracking output into the Autonomy stack's behavioral system.

Skills

C++

Python

Tracking systems

Probability / statistics

Education

BS or higher in Computer Science or related

Job description

Senior / Staff Software Engineer - Perception 3D Tracking

The Perception Object Detection and Tracking team at Zoox deals with perception of all people and objects that have a capability to move. Your role is to work with the ML model teams to bring cutting-edge models into the vehicle stack.

In this role, you will have access to the best sensor data in the world and an incredible infrastructure for testing and validating your algorithms. We are creating new algorithms for segmentation, tracking, classification, and high-level scene understanding, and you could work on any (or all!) of these components.

In this role, you will...

• Define on-vehicle architecture for producing the core tracking results from the Perception stack.
• Work with both the model teams and optimization teams to develop a highly performant and efficient system that can run on vehicle.
• Work with Perception data, both on the input and output of machine learned models
• Take tracking output and integrate this into the larger behavioral system in the Autonomy stack

Qualifications

• BS or higher in Computer Science or a related degree
• Fluency in C++ and Python
• Have experience implementing tracking systems
• Strong mathematical skills and understanding of probabilistic techniques

Bonus Qualifications

• Familiarity with modern, Sparse-BEV Joint Detection and Tracking models
• Experience with CUDA code
• Contribute to the ongoing development of new architecture based on new, state of the art ML research
• Investigate, prototype and train / evaluate networks for solving causal / recursive multi-target multi-modal tracking problem

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. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

If you need an accommodation to participate in the application or interview process please reach out [e-mail] your assigned recruiter.

A Final Note:

You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

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.