Zoox is transforming mobility-as-a-service by developing a fully autonomous, purpose-built fleet designed for AI to drive and humans to enjoy.

Industry: Automotive
Company Size: 1,001-5,000 employees

Zoox

Savvy Admin PROD

The Prediction & Behavior ML team is responsible for developing machine learning (ML) algorithms that learn and predict behaviors from data, applying them both on-vehicle to influence driving behavior and off-vehicle to provide ML capabilities to simulation and validation. Given the tight integration of behavior forecasting and motion planning, our team collaborates closely with the Planner team to advance overall vehicle behavior. We also work closely with our Perception, Simulation, and Systems Engineering teams to accelerate our ability to validate our driving performance.

As a Learned Trajectory Machine Learning Engineer you will be responsible for developing deep learned models that produce trajectories for our vehicles to drive. Given the tight integration of behavior prediction and motion planning, you will closely collaborate with the Planner and Perception teams in the advancement of our overall vehicle behavior.

**In This Role, You Will**

- You will develop new deep learning models that use imitation learning and reinforcement learning to generate driving plans for our autonomous vehicle. You will also work on techniques to estimate the quality of those driving plans along the dimensions of safety, progress, comfort etc.

- You will leverage our large-scale machine learning infrastructure to discover new solutions and push the boundaries of the field

- You will develop metrics and tools to analyze errors and understand improvements of our systems

- You will collaborate with engineers on Perception, Planning, and Simulation to solve the overall Autonomous Driving problem in complex urban environments

**Qualifications**

- BS, MS, or PhD degree in computer science or related field

- Experience with training and deploying transformer-based model architectures and reinforcement learning

- Experience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelines

- Fluency in C++ or Fluency in Python with a basic understanding of C++

- Extensive experience with programming and algorithm design

- Strong mathematics skills

**Bonus Qualifications**

- Conference or Journal publications in Machine Learning or Robotics related venues

- Prior experience with Prediction and/or autonomous vehicles or robotics in general

$189,000 - $270,000 a year

**Base Salary Range**

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

Follow us on LinkedIn

**Accommodations**

If you need an accommodation to participate in the application or interview process please reach out to [email protected] or 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. If you would like more information about how your data is processed, please contact us.

Software Engineer - Learned Trajectory Machine Learning Engineer

As Strategic Sourcing Manager of Direct Procurement, you will be responsible for Zoox’s strategic sourcing and industry partnerships, which includes working cross-functionally to understand needs for third-party engagement across the business, finding and evaluating potential partners and suppliers, drafting and issuing RFQs, leading the negotiation of all key terms and conditions as well as pricing, managing commercial and supply chain issues, identifying and executing on cost reduction opportunities, and overall management of third party relationships. You can operate independently and possess expertise in electronics, powertrain, chassis, body, safety systems, EV charging, fleet maintenance or capital equipment.

**In This Role, You Will**

- Lead procurement and partnership initiatives for vehicle direct materials (interiors, structural components, advanced hardware) and/or operations infrastructure (EV charging, vehicle maintenance, capital equipment)

- Proactively engage with Zoox stakeholders (incl. engineering, operations, manufacturing, strategy, finance, and design) to derive and execute the medium-term (3-5 years) business and technology roadmap to support Zoox’s vehicle development program and autonomous ride-hailing service

- Develop the supply chain and partnership footprint with a long-term, strategic view

- Lead the day-to-day process of ensuring successful partnerships (milestone adherence, change order management, quality assurance, cost control, etc.) and build supplier performance assessments to support future sourcing decisions

- Design, conduct, and synthesize supplier, industry, and market research

- Drive cost transparency and build total cost of ownership models to support sourcing decisions

- Ensure optimal contract coverage for the commodity/service in partnership with engineering and legal support

- Build and maintain strategic relationships with key suppliers as the lead point of contact for all commercial issues

- Review, analyze, and finalize quote packages from suppliers

- Support and inform internal stakeholders with respect to supplier selection and management

- Identify sourcing alternatives to drive efficiencies via benchmarking, competitive quotes, and changing requirements

**Qualifications**

- 6+ years of experience in partnership development and/or purchasing in a hardware product environment

- Bachelor’s degree

- Strategic sourcing, financial and business opportunity analysis, comfort with legal frameworks, and contract negotiation skills (development, supply, licensing, and service agreements)

- Excellent communication skills with the ability to influence cross-functional stakeholders, including C-level, engineering, legal, finance, manufacturing, and logistics

- Excellent analytical skills

- Advanced Microsoft Excel skills

**Bonus Qualifications**

- Ability to analyze and interpret market trends relevant to pricing.

- Proven ability to cultivate and maintain strong relationships with key suppliers.

- Strong focus on cost management and optimization.

- Experience in evaluating and optimizing Bill of Materials (BOM) costs in collaboration with suppliers.

- Ability to work collaboratively with engineering teams on cost optimization projects, including sourcing low-cost electrical alternatives.

- Strategic mindset for negotiating costs with key component suppliers.

$155,000 - $210,000 a year

**Base Salary Range**

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

Follow us on LinkedIn

**Accommodations**

If you need an accommodation to participate in the application or interview process please reach out to [email protected] or 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. If you would like more information about how your data is processed, please contact us.

Senior Strategic Sourcing Manager

As a Perception Engineer, you will be instrumental in designing and implementing cutting-edge detection models, utilizing fused sensor data. In particular, the role will be on advanced projects that are aimed at the next generation of driving software, including looking at joint detection and tracking models as well as ways to send rich embeddings to downstream models to relay semantic meaning and capture uncertainty.

This role offers a unique opportunity to directly impact Zoox's expansion into new areas. By developing more generalizable and adaptable models, you will help us navigate diverse and challenging circumstances, accelerating our mission to deliver safe and reliable autonomous mobility. We are looking for a highly motivated individual passionate about pushing the boundaries of perception in the autonomous vehicle space.

**In This Role, You Will**

- Train ML models, perform various studies into incorporating SOTA approaches as well as ablations/modifications of existing models

- Document experimental outcomes and drive towards deploying these models into Zoox robots

- Visualize your data at the input and output to understand the issues

- Collaborate with teams such as ML optimization, data labeling, metrics and planner to ensure project is successful for Zoox releases

**Qualifications**

- MS/PhD in Computer Science or related field

- Experience with PyTorch or related ML frameworks

- Experience deploying learned models into production

- Excellent collaboration and teamwork skills with proven track record of working on large-scale problems

**Bonus Qualifications**

- Prior experience in the AV or related space with joint detection and tracking models

- Deep understanding of how to setup end-to-end training and evaluation processes

$242,000 - $290,000 a year

**Base Salary Range**

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

Follow us on LinkedIn

**Accommodations**

If you need an accommodation to participate in the application or interview process please reach out to [email protected] or 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. If you would like more information about how your data is processed, please contact us.

Senior Machine Learning Engineer - Perception

At Zoox, you’ll collaborate with a team of world-class engineers with diverse backgrounds in areas such as AI, robotics, mechatronics, planning, machine learning, control, localization, computer vision, rendering, simulation, distributed computing, design, and automated testing. You will be challenged to rethink what it means for hardware design to arrive at elegant and efficient systems now that a robot is in control. Working at a startup gives you the chance to manifest your creativity and make a big difference in the final product.

As a Charging System Mechanical Engineer, your focus will be on the mechanical design of components for the L5 Electric Vehicle's High Voltage distribution and Charging systems. You will lead module development, managing the entire process from prototype to production alongside tier-one suppliers. This role requires defining system requirements based on a first-principles design approach and ensuring all components meet strict international standards (SAE, UL, IEC, ISO). You will also be responsible for creating critical documentation, including 3D/2D computer-aided drawings and detailed technical specifications. A major part of your work will involve cross-functional collaboration to break down and solve complex problems, identify root causes of failures, develop mitigation strategies, and integrate these learnings into new designs.

**Responsibilities**

-  Design and develop mechanical components, including enclosures, grommets, brackets, and assemblies, for low to high-volume production.

-  Manage supplier engagement and programs, overseeing both build-to-print and build-to-specification efforts.

-  Execute packaging reviews and detailed tolerance stack-up analyses.

-  Collaborate with internal cross-functional teams (e.g., electrical, test, manufacturing) and external partners to define requirements, iterate on designs, and gather technical feedback.

-  Validate mechanical designs by performing structural, modal, and thermal analyses.

-  Develop detailed work instructions for production in partnership with manufacturing engineers and technicians.

-  Sustain and continuously improve existing programs based on lessons learned from test campaigns and real-world fleet operations feedback.

-  Manage and track system requirements and compliance using the Polarion requirements management system.

-  Execute failure mode analysis, identifying root causes of failures, developing mitigation strategies, and integrating these learnings into new designs.

**Qualifications**

-  Bachelor's degree or equivalent degree in Mechanical Engineering or equivalent experience

-  2+ years of experience in vehicle design

-  Experience with mechanical design for power electronic devices

-  Experience with the casting of metal components

-  Experience with injection molding of plastic components

-  Knowledge of automotive development/release process and long-term schedule planning

-  Proficiency with CATIA V5 or V6 CAD software

-  Experience managing requirements and compliance in Polarion.

**Bonus Qualifications**

-  Familiarity with Jira

-  Experience at an automotive OEM

-  Familiarity with industry testing standards - SAE, MIL, UN, UL, GB/T, GTR

$145,000 - $175,000 a year

**Base Salary Range**

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

Follow us on LinkedIn

**Accommodations**

If you need an accommodation to participate in the application or interview process please reach out to [email protected] or 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. If you would like more information about how your data is processed, please contact us.

Mechanical Engineer, Charging Systems

Zoox’s Talent Acquisition team is looking for a recruiter to focus on hiring and shaping our core business teams including Finance, Legal, Policy, Facilities, and Safety. You will join our Business Enablement Team and manage a diverse set of roles that range from entry-level to experienced hires. You will work closely with hiring managers and will be given ownership of the entire recruiting process including managing clients, qualifying requirements, sourcing, recruiting, and closing world-class talent.

This position demands a balance of teamwork, creativity, and interpersonal skills. You will be expected to act as an ambassador of the brand and must be able to deliver results in a fast-paced work environment.

**Responsibilities**

- Manage full-cycle recruiting process with emphasis on strong hiring manager partnership and effective candidate advocacy

- Source candidates, screen resumes, and evaluate candidates to determine fit

- Facilitate interview and hiring decision-making processes with interviewers, hiring managers, and company leadership

- Manage offer process, partnering with hiring managers, leadership, and HR teams

- Continuously and independently seek new ways to improve both the candidate experience and recruiting process

**Qualifications**

-  6+ years of full-cycle recruiting experience in a competitive industry (sourcing, screening, and closing candidates) with at least 2+ years of experience recruiting for Business or Product roles

- Experience partnering directly with Hiring Managers

- Experience effectively evaluating candidates for both behavioral fit and role competencies

- Experience directly sourcing passive candidates using LinkedIn Recruiter, and other sourcing tools

- Experience in a fast-paced and ever-changing environment

**Bonus Qualifications**

- Interest in the autonomous and electric vehicle industry

- Expertise in leveraging an ATS (we use Lever) to build metrics, sourcing strategies, and talent pipelines

$119,000 - $161,000 a year

**Base Salary Range**

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

Follow us on LinkedIn

**Accommodations**

If you need an accommodation to participate in the application or interview process please reach out to [email protected] or 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. If you would like more information about how your data is processed, please contact us.

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