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 Founding Staff Engineer, you'll architect and build our core observability platform alongside our technical founder. You'll make key architectural decisions, write production code, and solve our most complex engineering challenges. This role is ideal for experienced engineers who want to shape the technical foundations of the platform while having a direct impact on the product.
Key Responsibilities
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Architect and develop our Rust-based client for data ingestion
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Design and implement core platform features:
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Data ingestion connectors
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Logs management systems
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Observability interfaces
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Error resolution tools
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Drive core architecture decisions and lead deployment on customer cloud
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Collaborate with teams to align technical solutions with business goals
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Foster engineering excellence in the team through mentorship and best practices
Key Skills and Experience
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Brings at least 5+ years of experience in building complex software systems
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Proven ability to solve challenging engineering problems
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Demonstrates deep technical expertise in high-performance computing, observability, cloud infrastructure, data engineering, or data science
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Proficient in low-level programming like Rust, C, or other technologies
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Track record of taking calculated technical risks and learning from failures
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Ability to leverage open-source architectures to accelerate development
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Experienced in technical leadership as a manager or project lead
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Thrives in fast-paced environments while managing multiple priorities
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Proven track record of shipping complex products at high velocity
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Brings a strong product mindset, ensuring technical solutions align with business priorities
Bonus points
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Proficient in high-performance data infrastructure
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Early-stage startup experience
Our Tech Stack
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Rust: We prioritise speed and efficiency for our core systems
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Nextflow & AlphaFold: Optimized for HPC and advanced AI workloads for drug discovery
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AWS + Terraform: Automated, scalable infrastructure for seamless deployment
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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
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Initial call with our Talent team to kick things off
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Intro call with Founder
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Take-home technical assignment
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Technical interview
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We offer
Want to learn more about Tracer? Check our website.
Top Skills
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.
