RAI Institute
Our mission
is to solve the most important and fundamental challenges in AI and Robotics to enable future generations of intelligent machines that will help us all live better lives.
About UMV Ultra Mobility Vehicle (UMV) is focused on advancing robot mobility to make machines more useful in everyday life. The team combines wheels, dynamic legged systems, and whole-body behavior to reach higher levels of movement capability. Using fast terrain perception, our robots adapt to their environment by rolling over or jumping on obstacles. This research is central to developing robotic systems that move with speed, agility, and versatility.
Role Overview As an Embedded Software Engineer, you will work cross‑functionally with a talented team of engineers and researchers to develop advanced robotic systems. Your contributions will directly advance the state of the art in robotics. We operate onsite at our Cambridge, MA office, fostering a collaborative and dynamic environment.
Responsibilities
Collaborate with research and hardware teams to design, develop, test, and maintain embedded software for UMV and other robotic applications
Develop high‑performance algorithms that improve system efficiency, mobility, and adaptability across varied terrains
Conduct regular code reviews to ensure code quality and reliability
Work closely with electrical engineers to develop and integrate custom hardware into UMV prototypes and platforms
Architect, design, and implement software solutions for embedded systems that support fast perception and real‑time control
Partner with multidisciplinary teams to integrate software with sensors and hardware components, ensuring smooth operation in UMV systems
Produce and maintain clear documentation for software design, interfaces, and system configurations to support ongoing development and future upgrades
Requirements
5+ years of experience delivering robust, production‑level code
BS or MS in Computer Science, Robotics, Physics, Electrical/Mechanical/Aerospace Engineering, or a related field
Proficient in Python and C++17 or later
Experience or willingness to learn Rust
Experience implementing/debugging host‑side and device‑side embedded software with high‑rate, low‑latency requirements (bare metal and/or RTOS)
Experience implementing and debugging various types of wired communication (Ethernet, SPI, CAN Bus, etc.)
Experience with modern software engineering practices (e.g. git, issue tracking, and CI/CD pipelines).
Strong background in Linux‑based platforms and development environments
Experience with ROS2
Excellent troubleshooting and debugging skills
Hands‑on experience with robot sensors (IMUs, cameras, etc.).
Experience as a technical lead, with a track record of mentoring other developers
Bonus
Comfortable using electrical engineering tools such as schematics, logic analyzers, and oscilloscopes for hardware evaluation and rework
Experience with robotics, control systems, kinematics, machine learning, or physics simulation
Experience tackling open‑ended embedded problems (e.g., bringing up sensors/compute from scratch)
Proficiency in data processing, logging, and visualization tools
Expertise in developing test and validation plans for system integration
Experience with complex system failure analysis in cross‑functional teams
Familiarity with developing Linux kernel modules
Background in legged locomotion, perception for robot mobility, or hybrid wheel‑leg platforms
Experience working with real‑time perception and control for dynamic environments
$128,100 - $237,900 a year
The current reasonable and good faith estimate of the annual base salary range for this position is $128,100 - $237,900, which is based on a number of factors including, but not limited to, relevant skills and experience, educational background and certifications, performance and qualifications, market demand for the role, geographic location, and other organizational needs. An individual candidate may be considered for this position at a different job level, in which case the appropriate salary range will be provided to the candidate after their qualifications have been established.
Employees who are new to the RAI Institute typically receive an offer that is between the minimum and the midpoint of the posted salary range to allow for growth within the range over time.
Base pay is part of a competitive total compensation package that may include an annual bonus, a long‑term cash incentive, monthly cell phone cost reimbursement, commuter cost subsidy, medical benefits, and more.
Any final job offer will be determined based on our established compensation range for the role, the candidate’s experience and qualifications, internal parity, and market and business considerations. The advertised pay range is not a guarantee or promise of a specific wage.
We provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
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About UMV Ultra Mobility Vehicle (UMV) is focused on advancing robot mobility to make machines more useful in everyday life. The team combines wheels, dynamic legged systems, and whole-body behavior to reach higher levels of movement capability. Using fast terrain perception, our robots adapt to their environment by rolling over or jumping on obstacles. This research is central to developing robotic systems that move with speed, agility, and versatility.
Role Overview As an Embedded Software Engineer, you will work cross‑functionally with a talented team of engineers and researchers to develop advanced robotic systems. Your contributions will directly advance the state of the art in robotics. We operate onsite at our Cambridge, MA office, fostering a collaborative and dynamic environment.
Responsibilities
Collaborate with research and hardware teams to design, develop, test, and maintain embedded software for UMV and other robotic applications
Develop high‑performance algorithms that improve system efficiency, mobility, and adaptability across varied terrains
Conduct regular code reviews to ensure code quality and reliability
Work closely with electrical engineers to develop and integrate custom hardware into UMV prototypes and platforms
Architect, design, and implement software solutions for embedded systems that support fast perception and real‑time control
Partner with multidisciplinary teams to integrate software with sensors and hardware components, ensuring smooth operation in UMV systems
Produce and maintain clear documentation for software design, interfaces, and system configurations to support ongoing development and future upgrades
Requirements
5+ years of experience delivering robust, production‑level code
BS or MS in Computer Science, Robotics, Physics, Electrical/Mechanical/Aerospace Engineering, or a related field
Proficient in Python and C++17 or later
Experience or willingness to learn Rust
Experience implementing/debugging host‑side and device‑side embedded software with high‑rate, low‑latency requirements (bare metal and/or RTOS)
Experience implementing and debugging various types of wired communication (Ethernet, SPI, CAN Bus, etc.)
Experience with modern software engineering practices (e.g. git, issue tracking, and CI/CD pipelines).
Strong background in Linux‑based platforms and development environments
Experience with ROS2
Excellent troubleshooting and debugging skills
Hands‑on experience with robot sensors (IMUs, cameras, etc.).
Experience as a technical lead, with a track record of mentoring other developers
Bonus
Comfortable using electrical engineering tools such as schematics, logic analyzers, and oscilloscopes for hardware evaluation and rework
Experience with robotics, control systems, kinematics, machine learning, or physics simulation
Experience tackling open‑ended embedded problems (e.g., bringing up sensors/compute from scratch)
Proficiency in data processing, logging, and visualization tools
Expertise in developing test and validation plans for system integration
Experience with complex system failure analysis in cross‑functional teams
Familiarity with developing Linux kernel modules
Background in legged locomotion, perception for robot mobility, or hybrid wheel‑leg platforms
Experience working with real‑time perception and control for dynamic environments
$128,100 - $237,900 a year
The current reasonable and good faith estimate of the annual base salary range for this position is $128,100 - $237,900, which is based on a number of factors including, but not limited to, relevant skills and experience, educational background and certifications, performance and qualifications, market demand for the role, geographic location, and other organizational needs. An individual candidate may be considered for this position at a different job level, in which case the appropriate salary range will be provided to the candidate after their qualifications have been established.
Employees who are new to the RAI Institute typically receive an offer that is between the minimum and the midpoint of the posted salary range to allow for growth within the range over time.
Base pay is part of a competitive total compensation package that may include an annual bonus, a long‑term cash incentive, monthly cell phone cost reimbursement, commuter cost subsidy, medical benefits, and more.
Any final job offer will be determined based on our established compensation range for the role, the candidate’s experience and qualifications, internal parity, and market and business considerations. The advertised pay range is not a guarantee or promise of a specific wage.
We provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
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