As a hands-on Systems Architect for robotic vision systems you will be responsible for the h/w and low-level s/w architecture to implement Dexterity’s vision systems. You will work with talented, cross functional teams to implement these systems and deliver on a roadmap for features, performance and cost. You will define major system and software interfaces, requirements and acceptance criteria for sub-systems. This role requires broad knowledge of camera systems (particularly RGBD), distributed s/w systems, CPU/GPU compute budgets, real time control, network communications, electronics, sensors and actuators. The ideal candidate will have developed and taken to volume production a complex vision/perception system operating in a dynamic environment. The ideal candidate will have broad knowledge and hands on skills across hardware and software domains.
We are very interested in candidates that have previously worked at a startup or other fast-paced environment on technically challenging projects. Other duties involve analyzing requirements, reviewing code/designs, mentoring other developers and communicating best practices via documents. The role also empowers you to evaluate new technologies and recommend new tools/components to improve our solutions.
In order to thrive in this role you will have significant experience with developing, debugging and improving production systems. Strong communication and problem-solving skills are essential to the role.
About Dexterity:
At Dexterity, we believe robots can positively transform the world. Our breakthrough technology frees people to do the creative, inspiring, problem-solving jobs that humans do best by enabling robots to handle repetitive and physically difficult work.
We’re starting with warehouse automation, where the need for smarter, more resilient supply chains impacts millions of lives and businesses around the world. Dexterity's full-stack robotics systems pick, move, pack, and collaborate with human-like skill, awareness, and learning capabilities. Our systems are software-driven, hardware-agnostic, and have already picked over 15 million goods in production. And did we mention we’re customer-obsessed? Every decision, large and small, is driven by one question – how can we empower our customers with robots to do more than they thought was possible?
Dexterity is one of the fastest growing companies in robotics, backed by world-class investors such as Kleiner Perkins, Lightspeed Venture Partners, and Obvious Ventures. We’re a diverse and multidisciplinary team with a culture built on passion, trust, and dedication. Come join Dexterity and help make intelligent robots a reality!
Required Skills:
MS or PhD in engineering, or a related discipline, or equivalent experience.
7+ years designing production grade vision/perception systems.
Proven ability to define system and s/w interfaces for scale and robustness.
Extensive experience using RGBD cameras for robotic systems.
Experience optimizing CPU/GPU compute, data flow and latency for high camera count systems with overlapping FOV.
Experience working with ML and CV teams as downstream consumers.
Knowledge of multi-camera calibration techniques.
Knowledge of Linux, real-time operating systems, and resource optimization.
Competency with software development tools(build & CI tools, compilers, debuggers, profilers).
Strong oral and written communication skills.
Nice to haves:
Experience using servo based actuators and position encoders.
Experience implementing dimensioning solutions with RGBD cameras..
Base pay is one element of our Total Rewards package which may also include comprehensive benefits and equity etc., depending on eligibility. The annual base salary range for this position is from $200,000 to $250,000. The actual base pay offered will be determined on factors such as years of relevant experience, skills, education etc. Decisions will be determined on a case-by-case basis.
Equal Opportunity Employer
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.