At a Glance
- Tasks: Drive improvements in Autonomous Vehicle software through data-driven evaluation processes.
- Company: Leading tech firm focused on innovative autonomous vehicle solutions.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Collaborative team environment with a focus on creativity and problem-solving.
- Why this job: Make a real impact on the future of transportation with cutting-edge technology.
- Qualifications: Strong analytical skills and experience in software evaluation processes.
The predicted salary is between 60000 - 80000 € per year.
You will be part of a team that drives systematic and data‑driven improvements to the Autonomous Vehicle software by designing, implementing, and maintaining robust processes for evaluation and validation of our AVs. To achieve this objective, we are looking for a highly motivated individual with excellent analytical skills to own end‑to‑end execution, methodology improvements, and insight articulation/communication to ensure high‑quality evaluation and release of our End‑to‑End ML Stack.
In this position, you will work closely with AI/ML Engineers, Simulation Engineers, Systems Engineers, and Product Managers to identify, analyze, monitor, and prioritise the most important signals to assess performance of our ML‑based stack leveraging simulation and on‑road data and building scalable processes to evaluate compliance to our KPIs.
If you’re interested in having a major impact on accelerating AV Behavioral Evaluation assessment on ML‑driven autonomy through creative problem solving, let’s chat!
What You’ll Do:- Define an AV evaluation process that spans from initial conception through implementation, ensuring it is applied to the release of our end‑to‑end (E2E) ML stack.
- Provide hands‑on implementation of infrastructure solutions to assess AV performance from ELT tooling at GM from simulation and on‑road data.
- Proactively scope and identify metrics needed to improve our evaluation workflows and devise paths for implementation if not available.
- Contribute to automated triage strategies for AV deficiencies in an End‑to‑End stack architecture and present findings to relevant stakeholders.
- Articulate insights, summaries and recommendations to AV developers and executives based on continuous analysis of AV performance.
- Define and maintain scalable processes to identify, monitor and improve evaluation KPIs as definition of success of evaluation initiatives.
- Map and articulate link between continuous improvement processes with the product safety case and compliance with safety standards.
Evaluation Systems Engineer, Autonomous Vehicles in Surrey employer: General Motors
As an Evaluation Systems Engineer in the dynamic field of Autonomous Vehicles, you will join a forward-thinking team dedicated to innovation and excellence. Our company fosters a collaborative work culture that values creativity and analytical thinking, offering ample opportunities for professional growth and development. Located in a vibrant tech hub, we provide a stimulating environment where your contributions directly impact the future of mobility, alongside competitive benefits and a commitment to work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Evaluation Systems Engineer, Autonomous Vehicles in Surrey
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working with autonomous vehicles. Attend meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio or a project that highlights your analytical prowess and understanding of evaluation processes. This could be a simulation project or a case study on AV performance metrics. We want to see your creativity and problem-solving skills in action!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice articulating your insights and recommendations clearly, as communication is key in this role. We suggest doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive and engaged. So, get your application in and let’s make some waves in the AV world together!
We think you need these skills to ace Evaluation Systems Engineer, Autonomous Vehicles in Surrey
Some tips for your application 🫡
Show Your Analytical Skills:Make sure to highlight your analytical skills in your application. We want to see how you approach problem-solving and data analysis, especially in relation to Autonomous Vehicles. Use specific examples from your past experiences to demonstrate your capabilities.
Tailor Your Application:Don’t just send a generic application! Tailor your CV and cover letter to reflect the job description. Mention how your experience aligns with the role of Evaluation Systems Engineer and the impact you can have on our AV software improvements.
Be Clear and Concise:When writing your application, clarity is key. We appreciate straightforward communication, so make sure your points are easy to understand. Avoid jargon unless it’s relevant to the role, and keep your sentences concise.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at General Motors
✨Know Your Stuff
Make sure you understand the fundamentals of evaluation processes and ML stacks. Brush up on your knowledge about autonomous vehicles and how they operate. Being able to discuss specific methodologies or tools you've used in the past will show that you're not just familiar with the concepts, but that you can apply them effectively.
✨Showcase Your Analytical Skills
Prepare examples that highlight your analytical skills, especially in relation to data-driven decision-making. Think of situations where you identified key performance indicators or improved workflows. Be ready to explain your thought process and the impact of your contributions.
✨Communicate Clearly
Since you'll be articulating insights to various stakeholders, practice explaining complex ideas in simple terms. Use clear, concise language and avoid jargon unless necessary. This will demonstrate your ability to communicate effectively with both technical and non-technical team members.
✨Be a Team Player
Collaboration is key in this role, so be prepared to discuss how you've worked with cross-functional teams in the past. Share examples of how you’ve contributed to team success and how you handle feedback. Showing that you can work well with AI/ML Engineers, Product Managers, and others will make you a strong candidate.
