Software Engineer- Controls- Autonomous Vehicles
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Position Overview & Specifications
Our client is a leading UK driverless vehicle and mobility company expanding internationally and on a mission to find the very best people to be part of our success and join the driverless revolution that will disrupt and transform the world of transport. Due to year on year growth they are recruiting an experienced Path & Motion Planning Engineer for it's Autonomous Vehicles R&D Team.
Roles:
- Participate in the design, Implement and test of different control algorithms in autonomous driving including but not limited to optimal control methods, MPC and LQR methods, optimization-based methods, system modelling, state-space representation, and linear/nonlinear control
- Contribute to the control software architecture
- Implement robust and highly readable C++ code
- Communicate with other teams across the autonomous stack to integrate the developed algorithms
- High-level code documentation
Essential requirements:
- BSc required, MSc or PhD degree is preferred in Computer Science, Robotics, Mathematics or related field
- 1.5+ years of experience in robotics and controls
- 1.5+ years of C++ software development (Python is a bonus)
- Experience working with optimal control and optimization techniques
- Experience using ROS1&2 or any other middleware/frameworks
Nice to have requirements:
- Good theoretical background in control and optimization and its sub-areas applied in Robotics
- Experience working with Non-linear/linear optimal-control (MPC, LQR) and optimisation techniques (Interior-point, Lagrange multipliers, ASMM, etc.)
- Experience in autonomous vehicles or mobile robots
- Experience working on decision-making methods for controlling robots
- Experience working with Docker containers
- Experience with safety-critical software design
- Experience working in simulation environments
- Experience working with CAN bus protocol/communications
- Experience working with drive-by-wire (DBW) systems
In return, you will get a great package that includes training, development, succession planning, a structured career path and a healthy bonus related to hitting key personal and company milestones.
If joining a growing cutting-edge technology organisation with great prospects in an emerging £billion sector and working with a brilliant motivated team appeals to you, please apply with an up to date CV as soon as possible, along with your availability and your salary expectations.
Job Types: Full-time, Permanent
Benefits:
- Company events
- Company pension
Schedule:
- Day shift
- Monday to Friday
Supplemental pay types:
- Bonus scheme
- Performance bonus
Ability to commute/relocate:
- Coventry, CV1 2HG: reliably commute or plan to relocate before starting work (preferred)
Application question(s):
- Why are you looking for change?
- What would be the relevant experience/qualification for this position?
- Any key achievements in your current role?
- Putting money to one side, what else motivates you?
Work authorisation:
- United Kingdom (preferred)
Work Location: One location
Reference ID: ICAV-SEC-14-04-2023
Candidate Selection & Onboarding Process
Application & Resume Screening
Submit your tailored CV/Resume directly to the talent acquisition portal.
Technical & Competency Interviews
Virtual interviews with the hiring manager and multidisciplinary team.
Formal Offer & Benefits Negotiation
Written agreement outlining compensation, equity, retirement vesting, and relocation allowances.
Onboarding & Corporate Integration
Equipment provisioning, team orientation, and commencement of duties.
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Software Engineer- Controls- Autonomous Vehicles • ICAV Cluster
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