At a Glance
- Tasks: Join Wayve to develop cutting-edge simulation technology for autonomous driving.
- Company: Wayve, a leader in Embodied AI technology since 2017.
- Benefits: Hybrid working policy, core hours flexibility, and a focus on innovation.
- Other info: Inclusive culture that values diversity and unique perspectives.
- Why this job: Make a real impact on the future of self-driving cars with your skills.
- Qualifications: 5+ years in software engineering, strong Python skills, and experience with Kubernetes.
The predicted salary is between 70000 - 90000 £ per year.
About us
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. Make Wayve the experience that defines your career!
The role
As a software engineer for Wayve’s Simulation Technology team, you will be 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) 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, making every contribution impactful and valued.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Software Engineer (Cloud, Simulation)
✨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 your interview process. It’s all about making connections!
✨Tip Number 2
Prepare for technical discussions by brushing up on your Python skills and understanding Kubernetes. Be ready to showcase your problem-solving abilities with real-world examples from your past work. We want to see how you tackle challenges!
✨Tip Number 3
Don’t forget to highlight your experience with simulation technologies and machine learning. Share specific projects where you’ve made an impact, especially if they relate to autonomous vehicles or data-intensive applications. Show us what you can bring to the table!
✨Tip Number 4
Finally, apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the Wayve team. Let’s make this happen!
We think you need these skills to ace Senior Software Engineer (Cloud, Simulation)
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 that you’re not just looking for a job, but that you’re genuinely excited about the impact of our technology!
Tailor Your CV:Make sure your CV highlights relevant experience, especially in Python and cloud technologies. We love seeing how your skills align with our needs, so don’t be shy about showcasing your achievements in simulation or robotics.
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Remember, we’re looking for effective communication skills as much as technical expertise!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining the Wayve team!
How to prepare for a job interview at Icehouseventures
✨Know Your Stuff
Make sure you brush up on your Python skills and any relevant experience with workflow orchestration systems like Airflow or Dagster. Be ready to discuss your past projects and how they relate to the role at Wayve, especially in terms of developing data-intensive applications.
✨Understand the Simulation Landscape
Familiarise yourself with the unique challenges of simulation in autonomous driving. Research Wayve’s approach to simulation and be prepared to discuss how your experience aligns with their needs, particularly around robot emulator fidelity and visual fidelity.
✨Show Off Your Communication Skills
Wayve values excellent communication and people engagement skills. Practice articulating your thoughts clearly and concisely, especially when discussing technical topics. Think about examples where you've successfully led discussions or collaborated across teams.
✨Embrace the Culture
Wayve is all about diversity and inclusion. Be genuine about your passion for self-driving technology and how you can contribute to a positive work environment. Share your thoughts on how diverse perspectives can lead to innovative solutions in the field of AI and robotics.
