Build and improve pipelines to parse clinical documents into validated executable modules.
Design and refine target representations for clinical guideline logic.
Develop deterministic validators using static analysis to make ambiguity explicit.
This healthtech team is building a production compiler that converts clinical standards into structured, executable decision logic. The team size is not specified, but the role emphasizes collaboration with clinicians and technical colleagues.
Build and improve pipelines for parsing clinical documents and transforming guideline content into executable modules.
Evaluate open and closed models, fine-tuning approaches, and constrained decoding strategies for clinical fidelity.
Develop deterministic validators and benchmarks to assess correctness and expose ambiguities in clinical logic.
They build a production compiler that turns clinical standards into structured, executable decision logic. The team is research-focused and collaborative, working across engineering and clinical disciplines.
Optimize software workloads across modern datacenter and agentic AI applications, identifying performance bottlenecks and developing software, compiler, runtime, and hardware-aware optimizations.
Profile real-world applications and investigate memory, concurrency, and CPU microarchitecture behavior to improve throughput, latency, and efficiency.
Collaborate with compiler, runtime, systems software, hardware, and performance modeling teams to influence future RISC-V CPU architecture.
Tenstorrent is leading the industry on cutting-edge AI technology, developing high performance RISC-V CPUs from scratch. Our diverse team of technologists values collaboration, curiosity, and a commitment to solving hard problems.
Build pipelines that parse clinical standards and transform them into executable modules using document and layout models.
Evaluate open and closed models, fine-tuning approaches, and constrained decoding strategies.
Develop datasets, benchmarks, metrics, and adversarial cases to assess clinical fidelity and correctness.
They build a clinical AI compiler that turns healthcare standards into validated, executable decision logic. The team is research-focused, collaborative, and works closely with clinicians to make recommendations traceable and reliable.