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Senior Perception Engineer Jobs in Massachusetts

ANDURIL INDUSTRIES

$220K - $292K/yr

ABOUT THE JOB Senior Robotics Engineers independently drive delivery of vehicle perception and planning capability integrated in to our products. This includes systems analysis, sensor selection and ...

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Anduril Industries

Robotics Software Engineer

Boston, MA · On-site

$191K - $253K/yr

ABOUT THE JOB Robotics Engineers lead the delivery of vehicle perception and planning capability integrated in to our products, acting as technical leads, extremely senior individual contributors ...

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Senior Perception Engineer information

What is a senior perception engineer?

Senior Perception Engineers are specialized professionals who design and develop advanced perception systems for machines, such as autonomous vehicles or robots. They work on algorithms and sensor fusion techniques to help machines interpret and understand their environment, enabling safe navigation and decision-making. Their role often involves collaborating with cross-functional teams, optimizing software for real-time performance, and integrating sensor data from cameras, LiDAR, radar, and other sources. Senior-level engineers typically have several years of experience and take on leadership responsibilities within perception teams.

What are the key skills and qualifications needed to thrive as a senior perception engineer?

To thrive as a Senior Perception Engineer, you need a strong background in computer vision, machine learning, and sensor data processing, typically supported by a degree in computer science, robotics, or a related field. Proficiency with tools such as Python, C++, ROS, and deep learning frameworks (e.g., TensorFlow or PyTorch) is essential, along with experience working with LiDAR, radar, and camera systems. Excellent problem-solving abilities, collaboration, and strong communication skills help you tackle complex challenges and integrate seamlessly with multidisciplinary teams. These skills ensure the development of robust perception systems critical for the safety and performance of autonomous vehicles or robotic platforms.

How does a senior perception engineer typically collaborate with cross-functional teams in autonomous systems development?

As a Senior Perception Engineer, you will work closely with experts in robotics, software engineering, and hardware integration to develop and refine perception algorithms for autonomous systems. Collaboration often involves frequent meetings with sensor teams to ensure data quality, as well as alignment with planning and controls engineers to guarantee that perception outputs meet system requirements. You may also participate in code reviews, joint debugging sessions, and design discussions to ensure seamless integration of perception modules. This cross-disciplinary teamwork is essential for building reliable and robust autonomous solutions.

What is the difference between Senior Perception Engineer vs Computer Vision Engineer?

AspectSenior Perception EngineerComputer Vision Engineer
Required CredentialsBachelor's/Master's in CS, EE, or related; experience in perception algorithmsBachelor's/Master's in CS, EE, or related; strong background in image processing and algorithms
Work EnvironmentAutonomous vehicles, robotics, AI systemsImage analysis, machine learning, AI applications
Employer & Industry UsageTech companies, automotive, roboticsTech firms, research labs, automotive
Common Search & ComparisonOften compared due to overlapping skills in perception and visionRelated but more focused on visual data processing

While both roles involve working with perception and visual data, a Senior Perception Engineer typically focuses on integrating perception systems into autonomous platforms, whereas a Computer Vision Engineer specializes in developing algorithms for image and video analysis. The roles often overlap but differ in application focus and industry usage.

What are the most commonly searched types of Perception Engineer jobs in Massachusetts?

The most popular types of Perception Engineer jobs in Massachusetts are:

Senior Perception Engineer jobs near you

Senior Machine Learning Engineer - Perception

Zoox

Boston, MA • On-site

$242K - $290K/yr

Full-time

Medical, Life, PTO

Re-posted 11 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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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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