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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.
What other companies are hiring for Senior Engineer jobs?
What are the most popular jobs at Zoox?
What are the most popular categories at Zoox?
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 Staff Machine Learning Engineer - Perception

Zoox

Boston, MA • On-site

$113.50K - $155.90K/yr

Full-time

Posted 15 days ago

Job description

Our Perception team is responsible for using our sensor data to understand the complex and dynamic environments where we drive. 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.

As a Senior Staff ML Engineer, you will lead the development of machine learning algorithms that can range in influence from onboard autonomy to offboard autonomy and validation. You will collaborate closely with other teams specializing in Prediction, Planning, Simulation, and Safety Validation, influencing our overall technical stack. Your role will look at problems in a way that crosses team boundaries to prototype new approaches that influence the long term technical direction of multiple organizations within the company. The impact of the role can be in the form of impacting immediate company milestones to leading forward-looking exploratory projects.
Responsibilities
  • Develop new algorithms to understand the scene around the robot, and how that scene would evolve through time
  • Build multi-modal foundation models for on-vehicle and offline applications
  • Develop new algorithms to apply generative AI to simulation to improve the realism of our offline validation systems
  • Leverage our large-scale machine learning infrastructure to discover new solutions and push the boundaries of the field
  • Provide technical mentorship to the broader group of ML developers at Zoox
  • Collaborate with engineers on Prediction, 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 Deep Learning models on sensor data-Experience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelines
  • Experience with modern computer vision techniques
  • Strong mathematical skills and understanding of probabilistic techniques
  • 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
  • Publications in your field (CVPR, ICCV, RSS, ICRA preferred)
  • Experience with autonomous robots
  • Experience with realtime sensor fusion (e.g. LiDAR, camera, radar)
  • Experience with novel pipelines and architectures for convolutional neural nets 
  • Experience with 3D data and representations (pointclouds, meshes, etc.)
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 accommodations@zoox.com 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.