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, flexible hours, and a culture of innovation.
- Other info: Inclusive environment 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 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 flexibility, employees enjoy a collaborative culture where their contributions are valued and encouraged. The company prioritises professional growth, offering opportunities to tackle complex challenges in the rapidly evolving field of autonomous driving, making it a rewarding place for those passionate about technology and its impact on the future.
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 folks in the industry, attend meetups, and connect with current employees at Wayve. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or GitHub with projects related to simulation or AI, make sure to highlight them. It’s a great way to demonstrate your expertise beyond just words.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and Kubernetes knowledge. Practice coding challenges and be ready to discuss your past projects in detail—this is your chance to shine!
✨Tip Number 4
Don’t forget to 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.
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 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 simulation technologies. We love seeing how your skills align with our needs, so don’t be shy about showcasing your achievements!
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Remember, we want to understand your experience and skills without wading through fluff!
Apply Through Our Website:For the best chance of getting noticed, apply directly through our website. It’s the easiest way for us to track your application and ensures you’re considered for the role you’re interested in!
How to prepare for a job interview at Icehouseventures
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python and Kubernetes. Brush up on your experience with workflow orchestration systems like Airflow or Dagster, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Wayve thrives on tackling complex challenges, so be prepared to discuss specific examples of how you've approached difficult problems in your previous roles. Highlight your thought process and the impact of your solutions, especially in data-intensive applications or simulations.
✨Communicate Clearly and Confidently
Excellent communication is key! Practice explaining your past projects and technical concepts in a way that’s easy to understand. This will not only demonstrate your expertise but also show that you can engage effectively with cross-functional teams.
✨Embrace the Company Culture
Familiarise yourself with Wayve's values and mission. Be ready to discuss how your personal values align with theirs, particularly around diversity and innovation. Showing that you’re a good cultural fit can set you apart from other candidates.
