Find Zoox Mid-Level Software Engineer software engineering jobs

Zoox is developing cutting-edge autonomous driving systems with a focus on safety and innovation.

Zoox, a pioneering company in autonomous driving technology, is seeking a Software Developer Engineer in Test to join their System Design and Mission Assurance (SDMA) team. This role focuses on developing sensor-degradation analysis pipelines to enhance fault-tolerance and platform stability of their autonomous driving system.

The position offers a unique opportunity to work at the intersection of safety-critical systems and cutting-edge autonomous vehicle technology. You'll be responsible for leading sensor degradation data analysis, developing robust test infrastructure, and ensuring the reliability of perception systems under various conditions. This role requires close collaboration with multiple engineering teams, including perception, software, hardware, and test engineers.

The ideal candidate will bring strong technical expertise in Python programming, system engineering, and perception verification and validation. Your work will directly impact the safety and reliability of Zoox's autonomous driving system, making this an excellent opportunity for someone passionate about creating robust, efficient, and scalable solutions in the autonomous vehicle industry.

The compensation package is comprehensive, including a competitive base salary, Amazon RSUs, and Zoox Stock Appreciation Rights. The position offers extensive benefits, including various insurance options and paid time off. Located in the San Francisco Bay Area with a hybrid work arrangement, this role provides an excellent opportunity to work with cutting-edge technology while maintaining work-life balance.

Join Zoox to be part of a team that's revolutionizing the future of transportation through innovative autonomous driving technology. Your contributions will be crucial in ensuring the safety and reliability of autonomous vehicles, making a lasting impact on the future of mobility.

Software Developer position at Zoox focusing on perception degradation analysis and validation for autonomous driving systems.

Software Developer - Perception Degradation V&V

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market.

The Agent Simulation group at Zoox is seeking machine learning engineers to enhance agent behaviors, assess performance, and develop tools to prioritize simulation results. You'll work on creating reliable and validated simulations, leveraging real-world driving data and exceptional infrastructure. The role involves researching and implementing state-of-the-art machine learning approaches, finding innovative solutions for agent behaviors, proving ML algorithms outperform heuristics, and building scalable cloud pipelines. You'll analyze differences between simulated and real-world behaviors, and collaborate with safety and autonomy engineers.

Key responsibilities include:
- Implementing and optimizing ML approaches for plausible agent behaviors
- Leveraging large-scale ML infrastructure for new solutions
- Building scalable cloud pipelines for ML solutions in simulation
- Cross-functional collaboration with safety and autonomy teams

Qualifications:
- BS, MS, or PhD in Computer Science or related field
- Experience with training and deploying deep learning models
- Familiarity with production ML pipelines
- Fluency in Python, basic C++ understanding
- Proficiency with Numpy and PyTorch, TensorFlow or JAX
- Strong mathematics skills

Bonus qualifications include experience with LLMs, reinforcement learning, imitation learning, and prior work in agent behaviors, prediction, autonomous vehicles, or robotics.

Zoox offers competitive compensation, including salary, Amazon RSUs, and Zoox Stock Appreciation Rights. The salary range is $141,000 to $234,000, with additional benefits such as paid time off, health insurance, and more.

Zoox values diversity and encourages applicants from all backgrounds to apply, even if they don't meet every listed qualification.

Machine Learning Engineer role at Zoox, focusing on agent simulation for autonomous vehicles.

Machine Learning Engineer, Agent Simulation

Join Zoox as a Software Engineer on the Perception team, where you'll work on state-of-the-art models to interpret complex urban environments. You'll develop advanced workflows for analyzing cutting-edge sensor data and contribute to groundbreaking algorithms for segmentation, tracking, classification, and high-level scene understanding. 

Zoox is seeking engineers with expertise in developing perception pipelines, capable of processing real data at scale in fast-paced and unpredictable environments. This role offers an opportunity to work at the intersection of robotics, machine learning, and design, contributing to the next generation of mobility-as-a-service in urban environments.

Key responsibilities include:
- Crafting advanced workflows for sensor data analysis
- Developing algorithms for segmentation, tracking, classification, and scene understanding
- Scaling machine learning algorithms
- Handling large data sets efficiently

Required qualifications:
- Extensive experience with programming and algorithm design
- Proficiency in Python and C++
- Experience in scaling machine learning algorithms and deployment
- Minimum 4 years of experience in a relevant field

Bonus qualifications include a Master's degree or PhD in computer science or related field, experience with Ray, and familiarity with sensor data and 3D representations.

Zoox offers a comprehensive compensation package, including a salary range of $175,000 to $265,000, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. Additional benefits include paid time off, health insurance, and various other insurance options.

Join Zoox's fast-moving and execution-oriented team to contribute to the development of autonomous vehicle technology and shape the future of urban mobility.

Join Zoox as a Software Engineer in Perception ML Ops, developing state-of-the-art models for autonomous vehicles in Boston, MA.

Software Engineer - Perception ML Ops

Zoox is seeking a software engineer to join their Perception team, focusing on building innovative architectures for classifying and understanding complex urban environments. This role offers access to world-class sensor data and robust infrastructure for algorithm testing and validation. The team is developing new algorithms for segmentation, tracking, classification, and high-level scene understanding.

The ideal candidate should have an advanced degree and experience in building perception pipelines that work with real-time data in dynamic and uncertain environments. Key responsibilities include creating novel algorithms for computer vision tasks and contributing to the development of autonomous vehicle technology.

Zoox, at the intersection of robotics, machine learning, and design, aims to revolutionize urban mobility with their fully autonomous vehicle fleet. They offer a comprehensive benefits package, including health insurance, paid time off, and stock options.

The compensation package includes three main components: salary ($160,000 to $265,000), Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may also be offered.

Zoox values diversity and encourages applications from candidates with a variety of backgrounds, experiences, and skills. They are committed to building an innovative team that can tackle the challenges of developing autonomous vehicle technology.

Join Zoox as a Software Engineer in Perception, developing cutting-edge algorithms for autonomous vehicles in Boston, MA.

Software Engineer - Perception

Zoox, a pioneering company in autonomous vehicle technology, is seeking a Machine Learning Engineer specializing in 3D Simulation to join their innovative team in Seattle, WA. This role offers an exciting opportunity to work at the forefront of autonomous vehicle development, focusing on improving simulation diversity and bridging the gap between simulation and reality.

As a Machine Learning Engineer in the 3D Simulation group, you'll have access to world-class sensor data and cutting-edge infrastructure for testing and validating your algorithms. You'll be working on generating rich and diverse 3D environments, humans, and environmental conditions, contributing to the advancement of Zoox's autonomous vehicle technology.

Key responsibilities include researching and implementing state-of-the-art machine learning approaches, collaborating with ML Researchers and Technical Artists, building scalable cloud pipelines, and improving rendering techniques for realistic data generation at scale. The ideal candidate will have 3+ years of experience in programming and algorithm design, fluency in C++ and Python, and expertise in modern 3D vision techniques.

Zoox offers a competitive compensation package, including a salary range of $134,000 to $222,000, Amazon RSUs, and Zoox Stock Appreciation Rights. Additional benefits include comprehensive health insurance, paid time off, and various insurance options.

Join Zoox in their mission to revolutionize urban mobility with autonomous vehicle technology. This role presents a unique opportunity to work at the intersection of robotics, machine learning, and design, contributing to the next generation of mobility-as-a-service in urban environments. If you're passionate about pushing the boundaries of 3D simulation and machine learning in the context of autonomous vehicles, this could be the perfect role for you.

Join Zoox as a Machine Learning Engineer in 3D Simulation, developing cutting-edge autonomous vehicle technology in Seattle, WA.

Zoox Mid-Level Software Engineer Software Engineering Jobs

Find Zoox Mid-Level Software Engineer software engineering jobs