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- Tasks: Join a talented team to optimise software for autonomous driving and enhance system performance.
- Company: Wayve, a pioneering tech company focused on self-driving vehicles.
- Benefits: Hybrid working model, competitive salary, and opportunities for professional growth.
- Other info: Inclusive culture that values diverse perspectives and encourages innovation.
- Why this job: Make a real impact in the future of autonomous driving technology.
- Qualifications: Proficient in C++ with experience in performance profiling and embedded systems.
The predicted salary is between 60000 - 80000 £ per year.
The Robot Software team is responsible for the software that runs on our internal fleet of vehicles to enable autonomous driving and collect data for training new driving models. You will join a motivated and talented team of engineers to deliver a reliable, stable and flexible software stack to support on‑road experimentation by our model developers and scientists. Your work will enable these teams to iterate quickly and gather the data they need to improve our autonomous driving capabilities and support new product features, which is critical to the success of Wayve’s mission.
The System Performance team equips all Wayve teams with the observability, profiling tools, and infrastructure needed to understand and optimise software performance across our development fleet. We work closely with teams to investigate issues, reduce bottlenecks, and promote best practices. Our work enhances core onboard components to ensure efficient use of compute and a solid foundation for running model experiments at scale. We also provide the tooling and infrastructure needed to quickly detect, diagnose, and address performance regressions, helping teams move faster with greater confidence.
Key Responsibilities
- Investigate latency and performance bottlenecks across the entire software stack.
- Instrument code with profiling tools and metrics to collect performance data and identify optimisation opportunities.
- Integrate and evaluate new profiling and instrumentation tools to benchmark system performance and establish baselines.
- Collaborate with multiple teams to understand their performance pain points and prioritise optimisation efforts based on impact.
- Optimize critical code paths and algorithms to improve runtime efficiency, reduce latency, and enhance overall system performance.
About you
We’re looking for a Software Engineer with the following skills and experience.
Essential
- Proficiency developing high‑performance embedded Linux systems software in C++.
- Demonstrated ability to manage the complete software development lifecycle from ideation through delivery & optimisation.
- Proficiency with performance profiling tools and techniques for identifying and resolving system bottlenecks.
- Proven track record of methodical experiment evaluation.
- Strong technical background on OS scheduling, computer architecture (memory hierarchy, CPU caches, context switches, …), and thread synchronisation.
Desirable
- Familiarity with Nvidia performance tools such as NV NSight, NV Lumos and tegrastat.
- Familiarity with observability tools such as Grafana (logs, metrics, traces), Databricks, Datadog.
- Familiarity with QNX and Momentics is a plus.
This is a full‑time role based in our office in London. We operate a hybrid working policy that combines time together in our offices and workshops with time working from home, within core working hours. Wayve is committed to creating an inclusive interview experience and encourages applicants who are passionate about self‑driving cars to apply. We do not ask about marriage, pregnancy, care responsibilities or disabilities in any of our job adverts or interviews.
Software Engineer -System Performance, Robot Software employer: Wayve
Contact Detail:
Wayve Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer -System Performance, Robot Software
✨Tip Number 1
Network like a pro! Reach out to current employees at Wayve on LinkedIn or other platforms. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! If you’ve got a GitHub or portfolio, make sure it’s up to date with your best projects. Highlight any work related to performance optimisation or embedded systems to catch their eye.
✨Tip Number 3
Prepare for technical interviews by brushing up on your C++ skills and performance profiling tools. Practice coding challenges that focus on optimising algorithms and reducing latency—this is key for the role!
✨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, it shows you’re genuinely interested in joining the team at Wayve.
We think you need these skills to ace Software Engineer -System Performance, Robot Software
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with high-performance embedded Linux systems and C++. We want to see how your skills align with our needs, so don’t be shy about showcasing relevant projects!
Showcase Your Problem-Solving Skills: In your application, give us examples of how you've tackled performance bottlenecks in the past. We love seeing a methodical approach to problem-solving, so share those success stories!
Highlight Collaboration Experience: Since we work closely with multiple teams, it’s important to show us how you’ve collaborated in previous roles. Mention any cross-team projects or experiences that demonstrate your ability to work well with others.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Wayve
✨Know Your Stuff
Make sure you brush up on your C++ skills and understand the intricacies of high-performance embedded Linux systems. Be ready to discuss your experience with performance profiling tools and how you've tackled system bottlenecks in the past.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've investigated and resolved latency issues or performance bottlenecks. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your methodical approach to problem-solving.
✨Familiarise Yourself with Tools
If you have experience with Nvidia performance tools like NV NSight or observability tools such as Grafana, make sure to mention it. Even if you're not an expert, showing that you're familiar with these tools can set you apart from other candidates.
✨Collaborate and Communicate
Since the role involves working closely with multiple teams, be prepared to discuss how you've collaborated in the past. Highlight your communication skills and how you've prioritised optimisation efforts based on team feedback and impact.