Careers at TraceWeave
Data / ML
Systems Engineer
A broad engineering role. A small technical team. The opportunity to build foundational AI systems from the ground up.
The role
Build across the whole system.
We’re looking for a highly versatile engineer to join our small technical team at TraceWeave. This is not a narrowly defined “data engineer” position.
We are a research-intensive AI company building new model architectures and runtimes from the ground up. Our technical founders currently work end-to-end across research, model development, data pipelines, infrastructure, deployment, benchmarking, product integration, and the occasional engineering problem that fits neatly into none of those categories.
We need someone who can take a meaningful part of that load off us.
What you might work on
- Building and maintaining data ingestion, transformation, validation, and preprocessing pipelines
- Preparing large-scale datasets for model training and evaluation
- Automating experiments, benchmarks, and internal engineering workflows
- Managing storage, databases, compute infrastructure, and cloud/on-prem resources
- Supporting ML training and inference pipelines
- Building internal tooling and APIs when needed
- Debugging systems across Python, Linux, containers, networking, and infrastructure
- Taking an ambiguous technical problem, figuring out what needs to be done, and owning it end-to-end
The exact boundary of the role will intentionally be broad.
What we’re looking for
Strong fundamentals matter more to us than a particular technology stack.
You should be comfortable with Python, Linux, databases, data pipelines, and modern software engineering practices. Experience with cloud infrastructure, Docker, distributed systems, ML infrastructure, GPUs/HPC, or lower-level systems engineering is highly valuable.
More importantly, we’re looking for someone who:
- Learns unfamiliar systems quickly
- Can work independently without a detailed specification
- Is comfortable crossing traditional role boundaries
- Knows how to distinguish a robust engineering solution from unnecessary complexity
- Actually enjoys debugging difficult problems
- Can go from “we have this problem” to a working implementation
We do not expect one person to already be an expert in everything above. We do expect the ability and willingness to figure things out.
Why TraceWeave
TraceWeave is a very small team working on foundational AI systems, including our Post-Transformer architecture, Phase-TITAN, and persistent world-model technology.
Because the team is small, this is unusually high-leverage engineering work. You won’t be maintaining one tiny component of a large organization. You’ll work directly with the technical founders, see the entire system, and have substantial ownership over what gets built and how.
We value demonstrated technical competence, curiosity, and the ability to build over credentials or keyword-matching a job description.
Let’s talk
Show us what you’ve built.
Email us with a short introduction and links to anything that demonstrates what you’ve built.
[email protected]