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What are the key skills and qualifications needed to thrive as a Senior Engineer, and why are they important?

To thrive as a Senior Engineer, you need advanced technical expertise in your engineering discipline, a relevant degree, and several years of industry experience. Familiarity with project management software, CAD tools, and compliance with engineering standards or certifications like PE (Professional Engineer) is typically required. Critical thinking, leadership, and effective communication are essential soft skills for mentoring teams and managing complex projects. These skills and qualities ensure successful project delivery, innovation, and strong team performance within engineering environments.

How does a Senior Engineer typically mentor junior team members, and what impact does this have on the team's success?

Senior Engineers often play a key role in mentoring junior developers by providing guidance on technical challenges, reviewing code, and sharing best practices. This mentorship helps foster a collaborative environment where less-experienced team members can develop their skills more rapidly. As a result, the entire team benefits from improved code quality, faster problem-solving, and a culture of continuous learning. Senior Engineers also help set standards and encourage professional growth, which contributes to the overall success and cohesion of the engineering team.

What is a Senior Engineer?

A Senior Engineer is an experienced professional responsible for designing, developing, and overseeing complex engineering projects. They often lead teams, mentor junior engineers, and ensure that technical solutions meet organizational goals and industry standards. Senior Engineers are typically experts in their field, possessing advanced problem-solving skills and a deep understanding of relevant technologies and methodologies. Their role also often involves collaborating across departments, managing timelines, and contributing to strategic planning.

What is the difference between Senior Engineer vs Mechanical Engineer?

AspectSenior EngineerMechanical Engineer
Required CredentialsBachelor's degree in engineering; often a master's; professional engineering license (PE) preferredBachelor's degree in mechanical engineering; PE license optional but advantageous
Work EnvironmentDesign, development, project management; leadership rolesDesign, analysis, testing, manufacturing
Industry UsageUsed across engineering sectors for experienced professionalsEntry to mid-level engineering roles in manufacturing, automotive, aerospace

Senior Engineers typically have more experience, leadership responsibilities, and advanced credentials compared to Mechanical Engineers. While Mechanical Engineers focus on design and analysis, Senior Engineers often oversee projects and mentor teams, making them suitable for higher-level roles within engineering teams.

What is it like to work at Zoox?

Zoox is a technology company that prioritizes innovation and collaboration, fostering a culture that encourages experimentation and creativity. As a leader in autonomous mobility, Zoox's team structure is designed to facilitate cross-functional collaboration, with engineers, designers, and researchers working together to develop cutting-edge autonomous vehicles and mobility solutions. Working at Zoox may appeal to candidates who are passionate about shaping the future of transportation and are eager to contribute to a mission-driven organization that is pushing the boundaries of autonomous technology.
Infographic showing various Senior Engineer job openings at Zoox in the United States as of May 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 98% Physical, and 2% Hybrid job distribution.

Senior Machine Learning Engineer - Perception

Zoox

Boston, MA • On-site

$242K - $290K/yr

Full-time

Medical, Life, PTO

Posted 13 days ago


Job description

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.

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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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