At a Glance
- Tasks: Develop and enhance simulation technology for autonomous driving systems.
- Company: Wayve, a leader in Embodied AI technology for automated driving.
- Benefits: Hybrid working policy, competitive salary, and a culture of innovation.
- Other info: Inclusive environment that values diverse perspectives and fosters career growth.
- Why this job: Join a team tackling complex challenges in the future of driving technology.
- Qualifications: 5+ years in software engineering, strong Python skills, and experience with Kubernetes.
The predicted salary is between 70000 - 90000 £ per year.
Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.
In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.
The role involves being an expert software engineer who evolves a core component of Wayve’s simulation platform, which is used to develop and evaluate Wayve’s driving intelligence. Wayve’s approach to autonomous driving presents unique challenges for simulation. Our end-to-end driving stack requires a simulator that is both highly realistic and highly descriptive. Our approach to simulation brings together a combination of classical simulation techniques with cutting-edge developments in machine learning to represent the real world in high fidelity at scale.
You will be responsible for shaping and implementing the technical roadmap in one of three key areas: robot emulator fidelity, visual fidelity, or efficient scaling. You will be working closely with our robotics, research, platform, and data teams, as well as the rest of the Simulation Technology team to ensure that our simulation platform meets the needs of our end-users by providing accurate, scalable, and high-signal simulations.
Challenges you will own:
- Own key performance indicators (KPIs) for simulator cost, SLOs, throughput, latency, etc.
- Work cross-company on aligning technical dependencies for simulator implementation
- Lead technical discussions and guide technical direction
- Effectively integrate the components of the simulated robot into the simulation platform
- Effectively integrate machine-learned graphics subsystems into the simulation platform
- Implement production quality software in Python
About you:
Essential:
- Experience with workflow orchestration systems (e.g. Airflow, Dagster, Flyte, etc.) and/or developing data intensive applications
- Excellent development skills in Python
- Deep knowledge of Kubernetes at the user level
- Good sense of systems and data oriented software engineering design – what makes code reusable and extensible
- Understanding of common software performance issues and design tradeoffs
- 5+ years of industry experience designing and programming software
- Excellent communication and people engagement skills
Desirable:
- Experience in the field of autonomous vehicles or robotics
- Proficiency with other programming languages like Go or C++
- Experience scaling simulations or data intensive workloads
- Experience with design, implementation, and optimization of large-scale machine learning inference systems running in cloud GPU environments
- Experience operating and scaling modern machine learned graphics techniques (NeRF, Gaussian Splatting, or GenAI)
This is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.
Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know. We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.
At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law.
Senior Software Engineer (Cloud, Simulation) in London employer: Icehouseventures
Wayve is an exceptional employer that champions innovation and inclusivity in the heart of London. With a hybrid working policy that promotes collaboration and flexibility, employees are empowered to thrive both in the office and remotely. The company fosters a culture of continuous learning and growth, offering unique opportunities to work on cutting-edge AI technology that shapes the future of autonomous driving.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Software Engineer (Cloud, Simulation) in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Wayve on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for the interview process. Personal connections can give you an edge!
✨Tip Number 2
Prepare for technical discussions by brushing up on your Python skills and understanding Kubernetes deeply. Be ready to showcase your problem-solving abilities with real-world examples during interviews. We love seeing how you tackle challenges!
✨Tip Number 3
Don’t just focus on your technical skills; show us your soft skills too! Communication is key, especially when working cross-company. Practice explaining complex concepts in simple terms to demonstrate your engagement and teamwork.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows your genuine interest in being part of the Wayve team. Don’t miss out on this opportunity to make an impact!
We think you need these skills to ace Senior Software Engineer (Cloud, Simulation) in London
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for autonomous driving and AI shine through. We want to see how your passion aligns with our mission at Wayve, so don’t hold back!
Tailor Your Experience:Make sure to highlight your relevant experience in software engineering, especially with Python and cloud technologies. We love seeing how your skills can contribute to our simulation platform, so be specific about your past projects.
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on what makes you a great fit for the role. Remember, less is often more!
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 Icehouseventures
✨Know Your Stuff
Make sure you brush up on your Python skills and any relevant technologies like Kubernetes. Be ready to discuss your experience with workflow orchestration systems and how you've tackled data-intensive applications in the past.
✨Show Your Problem-Solving Skills
Wayve loves tackling big challenges, so be prepared to share examples of complex problems you've solved. Think about how you approached these issues and what innovative solutions you came up with—this will show your ability to think critically and creatively.
✨Communicate Clearly
Excellent communication is key! Practice explaining technical concepts in a way that's easy to understand. This will not only help you during the interview but also demonstrate your ability to engage with cross-functional teams effectively.
✨Embrace the Culture
Wayve values diversity and inclusion, so be yourself! Share your unique perspectives and experiences. Show that you're not just a fit for the role but also for the company culture by expressing your passion for autonomous vehicles and how you can contribute to their mission.