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Sensor Algorithm Engineer Jobs in Massachusetts (NOW HIRING)

Senior Algorithms Engineer

Wilmington, MA

$114.30K - $156.90K/yr

Key Responsibilities Algorithm Development & Data Analytics * Take ownership of the design ... Apply signal processing techniques to extract robust features from noisy, real-world sensor signals.

Senior Algorithms Engineer

Wilmington, MA · On-site

$114.30K - $156.90K/yr

Key Responsibilities Algorithm Development & Data Analytics * Take ownership of the design ... Apply signal processing techniques to extract robust features from noisy, real-world sensor signals.

... RF sensor systems compliant with open architecture standards. You will work as part of focused ... Translate algorithm specifications (MATLAB, Python) into optimized C/C++ implementations

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Sensor Algorithm Engineer information

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

To thrive as a Sensor Algorithm Engineer, you need a strong background in signal processing, sensor physics, and applied mathematics, often supported by a degree in electrical engineering, computer science, or a related field. Familiarity with programming languages such as Python or C++, tools like MATLAB, and experience with sensor data fusion systems are typically required. Strong analytical thinking, problem-solving, and effective communication skills help you collaborate across multidisciplinary teams and interpret complex data. These skills are essential to develop robust algorithms that ensure accurate sensor performance and drive innovation in fields like automotive, robotics, and consumer electronics.

How does a Sensor Algorithm Engineer typically collaborate with hardware and software teams during product development?

Sensor Algorithm Engineers often serve as a bridge between hardware engineers and software developers. They work closely with hardware teams to understand sensor specifications and limitations while collaborating with software teams to integrate algorithms into embedded systems or applications. Regular cross-disciplinary meetings and iterative testing are common, ensuring that sensor data is accurately interpreted and that the algorithms perform reliably under real-world conditions. This collaborative environment helps drive innovation and ensures that final products meet both technical and user requirements.

What does a Sensor Algorithm Engineer do?

A Sensor Algorithm Engineer designs, develops, and tests algorithms that process data from various sensors, such as cameras, accelerometers, gyroscopes, or environmental sensors. Their work involves creating mathematical models and software to interpret sensor data for applications like robotics, autonomous vehicles, mobile devices, or IoT systems. They collaborate with hardware engineers and software developers to ensure accurate and reliable sensor performance. The role often requires expertise in signal processing, machine learning, and embedded systems.

What is the difference between Sensor Algorithm Engineer vs Signal Processing Engineer?

AspectSensor Algorithm EngineerSignal Processing Engineer
Required CredentialsBachelor's or Master's in Electrical Engineering, Computer Science, or related fields; knowledge of sensor systemsBachelor's or Master's in Electrical Engineering, Computer Science, or related fields; expertise in signal processing techniques
Work EnvironmentDevelops algorithms for sensors in automotive, consumer electronics, or industrial applicationsDesigns and implements signal processing algorithms across various industries including communications and audio
Employer & Industry UsageUsed by companies developing sensor-based systems like IoT devices, autonomous vehicles, and roboticsCommon in telecommunications, audio engineering, and image processing sectors

While both roles involve algorithm development and require similar educational backgrounds, Sensor Algorithm Engineers focus on creating algorithms specifically for sensor data interpretation, whereas Signal Processing Engineers work on processing signals from various sources, including sensors, for broader applications.

What job categories do people searching Sensor Algorithm Engineer jobs in Massachusetts look for? The top searched job categories for Sensor Algorithm Engineer jobs in Massachusetts are:
What cities in Massachusetts are hiring for Sensor Algorithm Engineer jobs? Cities in Massachusetts with the most Sensor Algorithm Engineer job openings:

Principal Algorithm Engineer / Robotics Algorithm Lead

Analogdevices

Wilmington, MA

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago


Job description

About Analog Devices

Analog Devices, Inc. (NASDAQ:ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible. Learn more atwww.analog.comand onLinkedInandTwitter (X).

Principal Algorithm Engineer / Robotics Algorithm Lead

Location: Wilmington, MA

Department: Robotics Systems Solution

Role Summary:

Lead the design, implementation, and deployment of state-of-the-art algorithms across the full robotics stack, with a primary focus on Autonomous Mobile Robots (AMR), Simultaneous Localization and Mapping (SLAM), and embedded AI solutions. This position combines deep technical expertise, cross-functional leadership, and a passion for solving complex real-world problems by bridging advanced algorithmic research with large-scale, production-ready systems.

Key Responsibilities:

  • Architect, develop, and optimise SLAM, motion control, path planning, and behavioral decision-making algorithms for AMR and robotics platforms.
  • Lead the integration of multi-modal sensor data (iTOF, RGB, LiDAR, IMU) for robust perception, mapping, and navigation in dynamic environments
  • Drive innovation in embedded Edge AI, leveraging GPU-accelerated frameworks (CUDA, cuVSLAM, RTAB-MAP, ORB-SLAM) and machine learning/reinforcement learning to enhance robot performance
  • Oversee low-level motor control development (position, velocity, torque loops) and system-level AI integration.
  • Utilise and extend 2D/3D simulation platforms (Gazebo, MuJoCo, IsaacSim) for algorithm development, validation, and real-world deployment support
  • Collaborate with systems, mechanical, hardware, and software teams to optimise hardware-software integration and system performance
  • Conduct rigorous testing and debugging in simulation and real-world scenarios; troubleshoot and resolve complex technical issues
  • Champion technical documentation, standards compliance, and safety best practices across the team
  • Mentor and develop engineering talent in advanced robotics and AI/ML techniques
  • Proactively engage with customers to translate their challenges into scalable, high-impact solutions; ensure customer success from prototyping through deployment
  • Represent the Robo8cs team in external forums: le patents, publish research, speak at industry conferences, and contribute to open-source projects

Required Qualifications:

  • MS or PhD in Robo8cs, Computer Science, Electrical/Mechanical Engineering, or related eld
  • 8+ years of experience in robotics algorithm development, with a focus on AMR/SLAM and embedded systems
  • Advanced prociency in C++, Python, and ROS/ROS2; hands-on experience with TensorFlow, PyTorch, and simulation platforms
  • Proven track record delivering production-grade algorithms and hardware-software solutions in robotics
  • Strong analytical and creative problem-solving skills; hands-on approach to prototyping, testing, and troubleshooting
  • Experience leading and mentoring technical teams; ability to communicate complex ideas clearly to both technical and non-technical audiences
  • Demonstrated ability to bridge technical breakthroughs with business value and customer impact

Preferred Qualifications:

  • Experience with large-scale robotics deployments (industrial, commercial, or eld)
  • Prior patent lings, publications, or open-source contributions in robotics/AI
  • Familiarity with safety standards and regulatory requirements in robotics

Why Join Us?

  • Shape the future of autonomous robotics at scale
  • Work on impactful projects with cutting-edge hardware and real-world datasets
  • Collaborate with world-class engineers in a culture that values innovation, autonomy, mentorship, and measurable business impact
  • Competitive compensation, benets, and professional growth opportunities

For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position - except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) - may have to go through an export licensing review process.

Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.

EEO is the Law: Notice of Applicant Rights Under the Law.

Job Req Type: ExperiencedRequired Travel: Yes, 10% of the timeShift Type: 1st Shift/DaysThe expected wage range for a new hire into this position is $157,080 to $227,460.
  • Actual wage offered may vary depending on work location, experience, education, training, external market data, internal pay equity, or other bona fide factors.

  • This position qualifies for a discretionary performance-based bonus which is based on personal and company factors.

  • This position includes medical, vision and dental coverage, 401k, paid vacation, holidays, and sick time, and other benefits.