Atlas Staff Perception Engineer, Tactile Sensing
Boston Dynamics
Listing collected from Boston Dynamics's career site. NextChapter is independent of Boston Dynamics.
Waltham, MA · Posted July 28, 2026
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Where Waltham, MA ranks
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November 2026
- #1Best cities for life sciences and biotech pay after cost of living$221k · of 10
- #2Best cities for software and engineering jobs in New England184 openings · of 24
- #2Best all-round cities for new graduates in New England59 / 100 · of 11
- #2Best all-round cities for mid-career professionals in New England67 / 100 · of 11
- #2Best all-round cities for remote workers in New England80 / 100 · of 11
- #2Best all-round cities for AI careers in New England80 / 100 · of 11
Rankings about engineering jobs
- Best cities for software and engineering jobs #1 San Francisco (3,412 openings)
- Best cities for engineering pay after cost of living #1 San Mateo ($216k)
- Most requested AI skills in engineering jobs #1 AI tools in daily work (6.1%)
- AI tools named most often in engineering jobs #1 Claude (1.7%)
- Employers with the most engineering jobs #1 Amazon (2,992 roles)
How AI is used in this kind of work
AI use among physical scientists, all other is little observed so far. Measured exposure for physical scientists, all other: 4% (little observed).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
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About the job
We're looking for a Staff Perception Engineer specializing in tactile sensing to help advance the next generation of robotic manipulation. In this role, you will design and develop sensing data systems that allow robots to physically interact with the world, transforming raw tactile signals into meaningful data representations that drive intelligent robot behavior.
You will work at the intersection of signal processing, simulation, machine learning, and robotics, developing high-bandwidth data acquisition pipelines that enable robots to perceive contact, force, and interaction with their environment. This role requires hands-on experimentation and close collaboration with teams across software, systems, and controls engineering to build perception solutions that improve the capabilities and reliability of robotic platforms operating in dynamic environments.
How you will make an impact
Collaborate with multidisciplinary teams to design, evaluate, and demonstrate tactile sensing data representations that enable reliable closed-loop robotic manipulation and interaction with the environment
Architect and implement highly optimized data pipelines to acquire, process, and stream high-bandwidth data from tactile sensors
Design and deploy automated data collection routines using robot end-effectors or instrumented test rigs to generate ground-truth datasets for sensor calibration and modeling
Design and deploy automated data collection routines using robot end-effectors or instrumented test rigs to generate ground-truth datasets for sensor calibration and modeling
Conduct hands-on testing to characterize sensor behavior under operational loads including motion, vibration, and thermal variation
Develop data processing pipelines that leverage advanced DSP techniques to filter, fuse, and compress raw sensor signals into optimized representations used by robotic perception and behavior models
Model sensor performance and drive the integration of tactile sensing into simulated virtual environments (e.g., Isaac Sim, MuJoCo) to effectively bridge the sim-to-real gap
Work closely with software, systems, manufacturing, and test engineering teams to define hardware interfaces and ensure successful system integration
Document designs, experiments, and learnings while contributing to improved development processes, tools, and design standards
Required Experience
To be successful in this role, candidates must possess the following foundational qualifications. We are looking for individuals who meet these core requirements through a combination of relevant education and hands-on experience.
MS or PhD in Electrical Engineering, Computer Science, Robotics, or related field. BS with significant relevant experience will also be considered
5+ years of experience developing embedded systems in robotics, automation, or similar electromechanical products
Strong understanding of the physical principles behind tactile sensing and the ability to model sensor behavior and translate physical limitations into robust data representations
Experience using version-control (Git) and developing software in Python and C++ for robotic systems, emphasizing high-bandwidth data acquisition.
Proficiency in Python and deep learning frameworks such as PyTorch applied to sensor data processing or representation learning
Strong technical communication and documentation skills
Desired Experience
Any of the experience listed below would be applicable in this role. It is ideal, but not required, that candidates possess all of these qualifications.
Experience designing and executing hardware-based data collection campaigns to generate ground-truth datasets for sensor calibration, modeling, or simulation environments such as Mujoco or Isaac Sim
Experience integrating multiple sensor modalities such as vision, force/torque sensors, IMUs, or tactile arrays into complex electromechanical systems to build cohesive environmental representations.
Certifications related to robotics safety, reliability engineering, or IPC standards are a plus
The pay range for this position is between $134,399.06 to $184,798.70 annually. Base pay will depend on multiple individualized factors including, but not limited to internal equity, job related knowledge, skills and experience. This range represents a good faith estimate of compensation at the time of posting. Boston Dynamics offers a generous Benefits package including medical, dental vision, 401(k), paid time off and a annual bonus structure. Additional details regarding these benefit plans will be provided if an employee receives an offer for employment.