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Perception Engineer Remote Jobs in Boston, MA (NOW HIRING)

Motional

Senior Engineer

Boston, MA · Remote

$190K - $244K/yr

Ref. No. N270 BOSTON - REMOTE U.S. ONLY FULL-TIME What You'll Do: * Design, implement, and test ... Collaborate with perception, motion planning, and controls algorithm experts. What You Bring:

Motional

Senior Engineer

Boston, MA · On-site +1

$190K - $244K/yr

Ref. No. N270 BOSTON - REMOTE U.S. ONLY FULL-TIME What You'll Do: * Design, implement, and test ... Collaborate with perception, motion planning, and controls algorithm experts. What You Bring:

Motional

Director, Prediction and ML Planning

Boston, MA · On-site +1

$288K - $396K/yr

Partner closely with Perception, Infrastructure and Systems Engineering to ensure the Large Driving ... be fully remote. The salary range for this role is an estimate based on a wide range of ...

All JobsPerception Engineer JobsPerception Engineer Remote JobsPerception Engineer Remote Jobs in Boston, MA

Perception Engineer Remote information

See Boston, MA salary details

$14

$60

$87

How much do perception engineer remote jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for perception engineer remote in Boston, MA is $60.83, according to ZipRecruiter salary data. Most workers in this role earn between $43.61 and $80.96 per hour, depending on experience, location, and employer.

What does a Perception Engineer do?

A Perception Engineer designs and implements systems that allow machines, such as autonomous vehicles or robots, to interpret and understand their environment using sensors like cameras, LiDAR, or radar. They develop algorithms for object detection, classification, and tracking to enable real-time decision-making. Perception Engineers often work with machine learning, computer vision, and sensor fusion technologies to improve the accuracy and reliability of these systems. Working remotely, they collaborate with cross-functional teams using online tools and platforms. This role is critical in advancing autonomous systems and robotics.

What are some common challenges Perception Engineers face when working remotely, and how can they be addressed?

Perception Engineers working remotely often encounter challenges such as limited access to physical hardware (e.g., sensors, robots, or vehicles) for testing algorithms, and difficulties in real-time collaboration with team members across different time zones. To address these issues, many remote teams rely on advanced simulation tools, cloud-based platforms for data sharing, and regular virtual meetings to ensure alignment. Building strong communication habits and leveraging remote debugging tools can also help maintain productivity and foster effective teamwork.

What are the key skills and qualifications needed to thrive as a Perception Engineer (Remote), and why are they important?

To thrive as a Perception Engineer (Remote), you need a strong background in computer vision, machine learning, and sensor fusion, typically supported by a degree in computer science, robotics, or a related field. Proficiency in programming languages like Python and C++, experience with frameworks such as TensorFlow or PyTorch, and familiarity with tools like ROS are commonly required. Excellent problem-solving skills, effective communication, and the ability to work independently are vital soft skills for remote collaboration. These competencies are crucial for developing robust perception systems that enable autonomous technologies to interpret and interact with their environment accurately.

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

AspectPerception Engineer RemoteComputer Vision Engineer
Required CredentialsBachelor's or higher in CS, Electrical Engineering, or related; experience with perception algorithmsBachelor's or higher in CS, Electrical Engineering, or related; strong programming skills in Python/C++
Work EnvironmentRemote, collaborative teams, often in autonomous vehicles, robotics, or AIRemote or on-site, working on image processing, object detection, and visual data analysis
Industry UsageAutonomous vehicles, robotics, AI startupsAutomotive, robotics, surveillance, and AI research

While both roles focus on perception and visual data, Perception Engineers Remote typically work on sensor data integration and perception algorithms in autonomous systems remotely, whereas Computer Vision Engineers focus more broadly on image processing and visual data analysis, often in research or product development settings.

What are the most commonly searched types of Perception Engineer jobs in Boston, MA? The most popular types of Perception Engineer jobs in Boston, MA are:
What are popular job titles related to Perception Engineer Remote jobs in Boston, MA? For Perception Engineer Remote jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Perception Engineer Remote jobs in Boston, MA look for? The top searched job categories for Perception Engineer Remote jobs in Boston, MA are:
Perception Engineer Remote jobs near you

Remote QA Engineer (AI/ML Focus)

Special Projects Engineering LLC

Boston, MA • Remote

Full-time

Medical, Dental, Vision

Posted 3 days ago

Job description

bout Special Projects Engineering LLC

Special Projects Engineering is a small, elite team based in Seattle tackling complex, high-impact problems using advanced AI and automation. We work across domains like autonomous systems, predictive infrastructure, synthetic biology, and next-gen defense tech. When something hasn’t been done before, we don’t shy away — we build it.

What You’ll Do

As a QA Engineer focused on ML/AI systems, your mission is to ensure the reliability, accuracy, and stability of intelligent systems that operate in messy, real-world environments. You’ll design robust testing frameworks and evaluation pipelines to validate everything from perception models to full-stack ML deployments.

Responsibilities:

  • Develop and maintain automated test suites for machine learning pipelines and AI-enabled systems

  • Create testing strategies for models handling visual, audio, sensor, and textual data

  • Validate data inputs, model outputs, performance benchmarks, and edge-case behavior

  • Build tools for continuous integration and regression testing across ML components

  • Work with ML engineers to define evaluation metrics and acceptable thresholds

  • Help ensure models are safe, stable, and robust before deployment

  • Identify gaps in test coverage and build test plans that scale with the codebase

What We’re Looking For

  • 3+ years in software QA, test automation, or related role

  • Hands-on experience testing ML models or AI systems in production environments

  • Strong Python skills; bonus if you’ve worked with PyTorch, TensorFlow, or JAX

  • Familiarity with ML lifecycle and model validation techniques

  • Experience with CI/CD pipelines, test frameworks, and debugging tools

  • Detail-oriented mindset with strong instincts for edge cases and failure modes

  • Bonus: background in data validation, simulation environments, or robotics

Why Join Us

  • Remote first company

  • Competitive salary and equity

  • Flexible hours and remote-friendly culture

  • Full health, dental, and vision insurance

  • High-end GPU hardware and compute resources

  • Work on real-world AI systems with a high-caliber team

  • Fast-moving environment where your work directly impacts production

If you care about building AI that actually works, works well, and works safely — we’d love to talk.