Expert Software Engineer, Real-Time Systems
2 months ago
Your New Role and Team
Sanctuary, a world leader in building AI-based control systems for humanoid robots, is looking to hire a skilled and motivated Expert Real-Time Systems (RTS) Engineer to join our Controls team. The Expert Real-Time Systems (RTS) Engineer is a crucial part of our team, supporting our real-time communication and control systems. Reporting to the Real-Time Systems Lead, you’ll contribute to the overall efficiency and effectiveness of our growing organization.
As Sanctuary’s Expert Real-Time Systems (RTS) Engineer, you'll be a valued part of the team as you own solutions from conception through to deployment. You'll participate in performance optimizations, design, and implementation of robust systems for high availability, monitoring, and remote management. Additionally, you'll ensure seamless integration and effective real-time control of our hardware solutions.
Our Success Criteria
- Bring hands-on experience in designing, implementing, documenting, and maintaining a real-time framework to robot control.
- Demonstrated experience in scaling software products, particularly those involving remote management and deployment of hardware solutions.
- Track record of resolving complex technical issues and enhancing system performance.
Your Experience
- BSc or BEng in Computer Engineering, Electrical Engineering, Computer Science, Physics, or a related field, or equivalent industry experience.
- Minimum of 5 years of experience in robotics software development.
Skills
- Expert proficiency in C/C++ and experience in developing software under hard real-time constraints on Linux platforms.
- Strong understanding of distributed systems design, multi-threading, and concurrency, especially in scalable and resilient software architectures.
- Experience developing for Linux embedded targets and knowledge of ARM architecture.
- Knowledge of distributed controls and network protocols, such as Ethernet, EtherCAT, for control and A/V systems.
- Familiarity with engineering best practices, including coding standards, system design, testing methodologies, and operational excellence.
Traits
- Possess exceptional listening skills and adeptness in conflict resolution, fostering a collaborative and inclusive team culture
- Exceptional attention to detail, patience, and persistence in troubleshooting and resolving performance issues.
- Ability to quickly learn and adapt to new technologies and evolving project requirements.
- Systematic and holistic approach to implementing improvements and/or troubleshooting issues
- Driven by a passion to bring human-like intelligence to machines through innovative real-time systems.
Working at Sanctuary AI
Sanctuary AI is an equal opportunity employer; employment with Sanctuary AI is governed based on skills, competence, and qualifications and will not be influenced in any way by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. In 2023, Sanctuary AI moved into a state-of-the-art office facility and has been recognized by LinkedIn as a Top Startup company.
Compensation and Benefits
Sanctuary offers a market-leading compensation package that includes competitive salaries, equity stakes, and a full suite of benefits for permanent employees, encompassing health coverage, paid time off, cutting-edge work facilities, and worksite flexibility by role. Our commitment to fairness ensures that our total compensation consistently surpasses market standards.
About Sanctuary AI
Founded in 2018 by Geordie Rose, Olivia Norton, and Ajay Agrawal, Sanctuary AI is a Vancouver, Canada-based company. Sanctuary AI is on a mission to create the world’s first human-like intelligence in general-purpose robots that will help us work more safely, efficiently, and sustainably. And in the not-too-distant future, help us explore, settle, and prosper in outer space.
Members of the Sanctuary AI team founded D-Wave (a pioneer in the quantum computing industry), Kindred (first use of reinforcement learning in a production robot), and the Creative Destruction Lab (pioneered a revolutionary method for the commercialization of science for the betterment of humankind). The team has experience launching market-defining innovations rooted in previously unsolved and deep scientific problems.
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