Research Engineer, Training & Inference

Harmonic
Palo Alto
Workplace: OnsiteFull timeUSD 200,000 - 450,000 annuallyFunction: Education & TrainingExperience: 2+ yearsEducation: bachelorsSkills: ["Problem-solving","Collaboration","Communication","Curiosity"]

Join a fast-moving engineering team building a scalable reinforcement learning stack for a mathematical reasoning engine. Own the architecture of agents and inference pipelines, optimize multi-node training and low-latency production workloads, and push the limits of GPU-accelerated RL in a high-performance environment.

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Harmonic
Harmonic
9 months ago

Research Engineer, Training & Inference

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Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Join a fast-moving engineering team building a scalable reinforcement learning stack for a mathematical reasoning engine. Own the architecture of agents and inference pipelines, optimize multi-node training and low-latency production workloads, and push the limits of GPU-accelerated RL in a high-performance environment.
Location: Palo Alto
Workplace: Onsite
Employment Type: Full time
Job Function: Education & Training

Key Responsibilities

  • •Total Stack Ownership: Maintain and optimize our proprietary RL training and serving infrastructure. Refactor any layer—from the Python API down to the CUDA kernels—to achieve peak performance for foundation model workloads.
  • •Optimized Training: maximize the throughput of our reinforcement learning system from data generation to model training with sharded multi-node training and inference algorithms.
  • •High-Performance Serving: optimize our inference stack for high-throughput reinforcement learning and low-latency LLM production traffic. Tune the inference engine, router, and scheduler, down to custom kernels if needed.
  • •Compute Optimization: Identify and resolve performance bottlenecks within our distributed clusters, ensuring optimal throughput and memory efficiency for multi-billion parameter models.
  • •Collaborate across teams to translate RL research into production-ready systems and benchmarks.

Pay and Benefits

Salary: USD 200,000 - 450,000 annually
Equity and Bonus:Equity
Perks:Paid LeaveHealth InsuranceVisionDental401kEquity

Key Requirements

  • •BS in Computer Science or a related technical field, or equivalent industry experience
  • •2+ years of relevant, hands-on industry experience
  • •Proficiency in Python
  • •Experience building or maintaining components within ML frameworks (e.g., PyTorch, JAX, or TensorFlow)
  • •Proficiency in either: understanding distributed training concepts and NCCL, OR practical experience deploying and profiling models on GPU-accelerated cloud infrastructure
Experience:2+ yearsArtificial intelligenceMachine learningReinforcement learning
Education:Bachelor's
Skills:Problem-solvingCollaborationCommunicationCuriosity
Languages:English
Tech Stack:PythonPyTorchJAXTensorFlowCUDANCCLTriton

Company Brief

Harmonic
Harmonic is developing Mathematical Superintelligence (MSI) — AI models (notably "Aristotle") that use formal verification to solve and verify advanced mathematical problems and reliably reason in quantitative domains.
Industry: AI & Machine Learning
Company Size: Small (11 to 50 employees)
Revenue: Pre-Revenue (USD 0)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series C
Headquarters: Palo Alto, United States
Founded: 2023
WebsiteLinkedIn