AI Systems Engineer – Jäntra Biosystems

At Jäntra Biosystems, we’re building frontier models to predict the quaternary structure of proteins — revealing how the molecular machinery of life fits and moves together. This is work at the edge of computation and biology, where clarity of thought matters as much as code. We’re looking for an engineer who works close to the metal — someone who understands performance not just as speed, but as the elegance of doing things well. You’ll help us design and optimize the C++ systems that power large‑scale training and inference on GPU clusters, moving from raw molecular data to insights about life’s architecture.

What you’ll do

• Build and maintain high-performance C++ infrastructure for large-scale protein modeling.
• Work with Boost, CUDA, and low-level GPU monitoring tools (nvidia-smi, profiling APIs) to optimize workloads.
• Integrate our models into scalable HPC and cloud environments (Slurm, Kubernetes, multi-GPU/multi-node).
• Design robust pipelines for processing and streaming large molecular datasets.
• Collaborate with researchers to bring theoretical designs into working, reproducible code.

What you bring

• Deep C++ expertise, with experience in Boost and modern C++17/20 features.
• Comfort with GPU programming (CUDA) and low-level performance tuning.
• Strong grasp of Unix/Linux internals, networking, and distributed systems.
• Experience with HPC scheduling, GPU cluster environments, and large data workflows.
• Bonus: familiarity with structural biology file formats (PDB, mmCIF) or computational geometry.

What we offer

• Work that matters — advancing our understanding of life’s most fundamental mechanisms.
• Competitive salary and equity.
• A choice between working in San Francisco or remotely.
• A small, collaborative team where ideas travel fast and credit is shared.
• Space to focus: we believe good work comes from attention, not rush.