Real Time Software Engineer, Sanctuary AI
More information about location
Human-like intelligence robotics
Job no longer available
Human-like intelligence robotics
101-200 employees
Job no longer available
More information about location
101-200 employees
Company mission
To create the world’s first human-like intelligence in general-purpose robots at a time that is right to make it happen.
Role
Who you are
- Bachelor’s degree in Computer Engineering, Electrical Engineering, Computer Science, Mechatronics, or Robotics with 2+ years of relevant industry experience
- Comprehensive experience with real-time software architectures, ROS 2, and robot hardware control
- A track record of technical excellence and successful delivery of motion control and robot integration projects
- Understanding of computer hardware and passion for debugging across multiple layers of a system: hardware, kernel, middleware, and user-level applications
- Strong ROS2 and ros2_control experience, including robotic systems integration and control interface extension for seamless communication
- Solid experience working with Linux, including system-level configuration, debugging, and performance tuning for real-time multi-threaded applications
- Excellent verbal and written communication skills, with a focus on clarity in technical discussions and documentation
- Above all else, a consistently positive attitude and a willingness to do whatever it takes to create robust solutions to mission objectives
- Successful candidates will be a proponent of personal responsibility for themselves and their teammates
- Empathetic listener with conflict resolution capabilities
- Consistent bias for action, communication, and interpersonal savvy
- Self-motivated and able to solve problems independently
- Mission driven and passionate about bringing human-like intelligence to machines
What the job involves
- The Real Time Software Engineer is a crucial part of our team, supporting the integration and control of complex robotic systems through deterministic and low-latency software frameworks
- Reporting to the Applications Lead, you’ll contribute to the overall efficiency and effectiveness of our growing organization
- The right candidate will be a valued part of the team as you support the testing and deployment of our robot systems, own the quality and integration over control and AI integration boundaries, and innovate testing and deployment readiness checks in our robotic movement systems
- The main challenge for this role in the first year will be testing and validating real-time control software to support general-purpose robot platforms, ensuring seamless integration between low-latency systems and high-level AI behaviors
- Within 90 days, you will contribute to validating real-time applications with AI workloads, find integration gaps, and prepare the system for complex control tasks
- This role will collaborate with application developers and customers to validate application fit and system reliability
- Hands-on experience with ROS 2, ros2_control, hardware/software integration, and debugging performance-critical systems will help someone ramp up quickly
Our take
Sanctuary has set itself the ambitious task of developing human-like intelligence in general-purpose robots, intending to complement the human labor market - and eventually helping humans settle in outer space. Its robots are modelled on the size and shape of humans, and their cognitive architecture is based on the subsystems of the human brain. The hope is that this puts the so-far elusive artificial general intelligence (AGI) in closer reach.
It’s a challenging mission, but the Sanctuary team have remarkable expertise and experience. Before Sanctuary, the founders launched deep tech robotics company Kindred with backing from the likes of Google and Bloomberg Beta. Whilst it was eventually bought out by Ocado, Sanctuary was designed to pick up where Kindred’s early research left off.
Some critics suggest that Sanctuary’s technology isn’t anything new - just yet. Nor has any company promising AGI (including Tesla) offered up material results. There’s also some question as to whether AGI, technologically glamorous though it may be, is better than highly specialised systems. If it can be done, however, there’s no doubt it’ll prove a remarkable deep-tech breakthrough.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
81% employee growth in 12 months
Company
Funding (2 rounds)
Dec 2022
$30m
GRANT
Mar 2022
$58.5m
SERIES A
Total funding: $88.5m
Company HQ
Mount Pleasant, Vancouver, BC
Leadership
Geordie Rose
(CEO)A Doctor of Theoretical Physics, who subsequently founded and served as CTO of quantum computing systems and software company D-Wave Systems, before moving on to co-found Kindred.ai.
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