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- Tasks: Develop and optimise cutting-edge algorithms for real-time object detection in autonomous spacecraft.
- Company: Join a pioneering aerospace company at the forefront of space technology.
- Benefits: Competitive salary, equity participation, full medical coverage, and flexible PTO.
- Why this job: Make a real impact on groundbreaking space programs and shape the future of autonomy.
- Qualifications: Strong skills in C++ and Python, with experience in computer vision and real-time systems.
- Other info: Be one of the first US hires and enjoy rapid career growth in a dynamic team.
The predicted salary is between 120000 - 144000 £ per year.
EVONA is partnering with a pioneering aerospace company developing a new generation of autonomous spacecraft systems. Their mission is to build advanced autonomy and perception pipelines that allow satellites to detect, classify, and understand objects in orbit in real time. This is a rare opportunity to join as one of the first US software hires, giving you direct impact on a high-profile space program while shaping the growth of the US software team.
What You'll Do
- Develop and optimise computer vision & ML algorithms for real-time object detection and characterisation
- Integrate perception models into onboard flight computers and autonomy pipelines
- Build sensor models, digital twins, and simulation tools for training and validation
- Collaborate with international engineering teams while helping expand the US presence
- Contribute across a small, fast-moving team tackling complex, mission-critical challenges
What We're Looking For
- Strong software engineering skills in C++ and Python
- Must have worked on Real Time Operating Systems (RTOS)
- Experience with computer vision, ML frameworks (PyTorch, TensorFlow), and CUDA acceleration
- Background in real-time/embedded systems, edge computing, or robotics
- Hands-on experience with perception systems in autonomy, drones, robotics, AR/VR, or self-driving vehicles
- Minimum 2 years' experience (open to junior through senior levels)
- Space industry experience not required – we’re seeking autonomy and perception engineers who thrive on solving complex, real-world problems
Why Join
- Impact: Apply your autonomy expertise to one of the most exciting frontiers of engineering
- Ownership: Join as one of the first 3 US hires, shaping both technology and team direction
- Growth: Help build a US team that will scale significantly in the next phase
Compensation & Benefits
- $150,000 – $180,000+ depending on level
- Equity participation
- Full medical, dental, and vision coverage
- 401(k) with company match
- Flexible PTO and paid leave
Location & Requirements
- Los Angeles or San Francisco
- Must be US Citizen, Green Card holder, or ITAR‐eligible
For more information, contact Ciara Holmes at EVONA or apply now to take your autonomy career to the next frontier.
Software Engineer (Perception) in London employer: EVONA
Contact Detail:
EVONA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer (Perception) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the aerospace and tech industries on LinkedIn. Join relevant groups and engage in discussions. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving computer vision and ML. Share it during interviews or even on your LinkedIn profile to catch the eye of recruiters.
✨Tip Number 3
Prepare for technical interviews by brushing up on your C++ and Python skills. Practice coding challenges and be ready to discuss your experience with RTOS and perception systems. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Software Engineer (Perception) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your software engineering skills, especially in C++ and Python. We want to see how your experience aligns with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about working on autonomous spacecraft systems and how your background in computer vision and ML can contribute to our mission.
Showcase Your Projects: If you've worked on any real-time operating systems or perception systems, make sure to include those in your application. We love seeing hands-on experience, so share any relevant projects that demonstrate your skills!
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 this exciting opportunity to shape the future of our US software team!
How to prepare for a job interview at EVONA
✨Know Your Tech Inside Out
Make sure you’re well-versed in C++ and Python, as these are crucial for the role. Brush up on your knowledge of real-time operating systems and be ready to discuss your experience with computer vision and ML frameworks like PyTorch and TensorFlow.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex challenges in previous projects. Highlight any hands-on experience with perception systems, drones, or robotics, as this will demonstrate your ability to contribute to mission-critical tasks.
✨Understand the Company’s Mission
Familiarise yourself with the aerospace company’s goals and the significance of their autonomous spacecraft systems. Being able to articulate how your skills align with their mission will show your genuine interest and commitment to the role.
✨Be Ready to Collaborate
Since the role involves working with international teams, prepare to discuss your experience in collaborative environments. Share examples of how you’ve successfully worked in small, fast-moving teams to tackle engineering challenges.
