About Tracer
Many scientists struggle to debug computational workflows, slowing scientific breakthroughs like drug development that could help millions of people. We're building an advanced observability platform for scientific high-performance computing to solve this challenge. Backed by $3M in funding, we're assembling our founding team to accelerate. Ready to make an impact?
Your Mission
As a Software Engineering Intern, you'll help build our core observability platform alongside our technical staff. You'll write production code, execute architecture changes, and assist solving our most complex engineering challenges. This role is ideal for students or recent graduates who want to shape the technical foundations of the platform while having a direct impact on the product.
We’re looking for interns who can collaborate effectively within UK/EU time zones, including availability during EU/UK evening hours for occasional technical team meetings. This position is ideal for candidates based in Europe, the UK, South America, or the US, or anyone with availability that overlaps significantly with UK/EU working hours.
Key Responsibilities
Implement & adapt core platform features:
Data ingestion connectors
Logs management systems
Observability interfaces
Error resolution tools
Execute architecture changes
Collaborate with teams to align technical solutions with business goals
Foster a culture of engineering excellence by implementing proven best practices in day-to-day development
Key Skills and Experience
Pursuing or having completed a degree in Computer Science, Engineering, or a related field
Demonstrated success in tackling complex engineering challenges through academic projects and personal coding initiatives
Interest in low-level programming like Rust, C, or other technologies
Interest in high-performance computing, observability, cloud infrastructure, data engineering, or data science
Ability to leverage open-source architectures to accelerate development
Thrives in fast-paced environments while managing multiple priorities
Brings a strong product mindset, ensuring technical solutions align with business priorities
Our Tech Stack
Rust: We prioritise speed and efficiency for our core systems
Nextflow & AlphaFold: Optimized for HPC and advanced AI workloads for drug discovery
AWS + Terraform: Automated, scalable infrastructure for seamless deployment
eBPF and techniques like dynamic library rewriting, monkey patching, and runtime adjustments
PS. Experience with our stack is valued but not required - we prioritise strong engineering fundamentals and quick learners.
Interview Process
Initial call with our Talent team to kick things off
Intro call + technical assessment with our Founding Engineer
Final call with founders
We offer
Want to learn more about Tracer? Check our website.
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What We Do
AI is reshaping science. Tracer ensures it delivers.
Scientific breakthroughs depend on AI but today’s computational infrastructure isn’t built for the scale, speed, and complexity of modern research. Tracer provides real-time visibility, optimization, and debugging across every workload, ensuring AI-driven discovery happens faster, more efficiently, and at lower cost.
From drug development to semiconductor design, we eliminate bottlenecks, speed up supercomputing, and make AI a reliable, scalable engine for scientific progress.
Our seamless integration requires just one line of code. Your data never leaves your system.
The next era of science demands the right foundation. Tracer builds it.
