At Stoke, we believe a thriving space economy will enable a vibrant, sustainable, and equitable future here on Earth. That is why we’re building Nova, our fully and rapidly reusable launch vehicle. Designed for daily flight, Nova tackles the core challenges of space transportation by reducing cost, increasing availability, and improving reliability. By radically lowering launch costs and increasing flight cadence, we’re helping create a truly scalable space industry.

Our team is mission-driven, collaborative, and empowered to take ownership of their work. If you want to work alongside some of the most dedicated and talented people on Earth, we’d love to have you join us.

Description

Reusable launch systems are the key to seamlessly connecting Earth and space. An instrumental ingredient to enabling a rapid launch cadence is the ability to make informed and automated decisions quickly, backed with high quality data. That is our goal for the data team at Stoke, our software empowers our engineers and provides them the ability to automate and improve the efficiency of their day-to-day tasks. As a Software Engineer on the Data Team, you will be responsible for contributing to the design and implementation of Stoke’s data visualization and analysis tooling. Your work will span high-performance web UIs, real-time and batch data services, and scalable systems that monitor the performance and health of supercomputer environments and fielded hardware. You will write production code across the stack, set a high bar for reliability and usability, mentor peers, and help shape a strong technical culture.

Responsibilities

Develop and maintain full-stack visualization tools for hardware and software analysis
Design intuitive front-end interfaces for troubleshooting, analysis and monitoring the health of our launch vehicles
Partner with cross-functional teams to design features that meet real-world, time-sensitive needs
Ensure high performance, reliability, and scalability of visualization tools across both front-end and back-end systems
Continuously improve existing tools and develop new features to meet evolving requirements
Mentor engineers and contribute to a strong technical culture
Participate in a low-friction on-call rotation; our platform is stable, but the company depends on what we build

Qualifications

3 - 5 years of experience in software development
Professional experience with Typescript and Rust
Demonstrated expertise in front-end development, particularly building tools for scientific computing, manufacturing workflows, or infrastructure monitoring/visualization
Hands-on experience with time series data visualization libraries and platforms ( ex: Plotly, Highcharts, etc)
Ability to design and maintain complex systems on AWS
Experience building modern web applications using frameworks such as React
Excellent problem-solving skills and attention to detail
Strong communication skills and a track record of effective collaboration in team environments
Strong product intuition and customer empathy; you care about the why behind the code
Proven leadership taking ideas from concept to production at scale

Preferred Qualifications

Experience with Svelte
Experience with real-time systems (WebRTC, WebSockets, LiveKit)
Familiarity with graphics technologies (WebGPU, WebGL)
Background in aerospace

Benefits

Equity – We know that our employees are the reason we succeed. To give everyone a stake in our future, we are pleased to offer equity in the form of stock options to all regular, full-time employees.
Comprehensive benefits program including subsidized medical, dental, and vision insurance
Company-paid life and disability insurance
401(k) plan with employer match
4 weeks’ Paid Time Off
Holidays – 11 days (including an end-of-year closure)
Paid Family/Parental Leave
On-site gym or monthly wellness stipend (depending on location)
Dog friendly offices!

Compensation

Target Levels:

Level 3 Range: $154,350 - $231,525
Level 4 Range: $192,885 - $289,380

Our job posts are intentionally written to attract a wide variety of experience levels, and we make decisions about the right fit on a per-candidate basis.