Research Engineer - Mid-Training

Volt AI
Palo Alto
Workplace: OnsiteFull timeFunction: Education & TrainingSkills: ["Collaboration","Communication","Problem-solving"]

Train frontier models to become semiconductor design and verification experts, enabling reinforcement learning and automated chip development. Collaborate with hardware engineers, RL researchers, and compute engineers to scale training across thousands of GPUs, generate synthetic design data, and build high-performance tools that connect data, simulation, and downstream design metrics.

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FursaFursa
Volt AI
Volt AI
10 months ago

Research Engineer - Mid-Training

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Source: Company careers pageValidated by: Fursa AI
Last checked: 15 hours agoStatus: Live

Job Summary

Train frontier models to become semiconductor design and verification experts, enabling reinforcement learning and automated chip development. Collaborate with hardware engineers, RL researchers, and compute engineers to scale training across thousands of GPUs, generate synthetic design data, and build high-performance tools that connect data, simulation, and downstream design metrics.
Location: Palo Alto
Workplace: Onsite
Employment Type: Full time
Job Function: Education & Training
Seniority: Mid level

Key Responsibilities

  • •Train frontier models to become semiconductor design and verification experts that support RL and automated chip development.
  • •Generate and curate synthetic design data and establish data pipelines to feed model training and evaluation.
  • •Perform model distillation and enable continual learning at scale across large GPU clusters and RL environments.
  • •Collaborate with hardware engineers, RL researchers, and verification specialists to create evals that guide design data quality and model improvement.
  • •Build high-performance tooling to investigate how data and simulation shape model-driven design intelligence and downstream design metrics.

Key Requirements

  • •Experience training LLMs or foundation models on semiconductor design and verification corpora (e.g., RTL, netlists, PDKs, simulation logs)
  • •Modeling design scaling laws and optimizing compute budgets for chip-design-specific workloads
  • •Generating large-scale synthetic design data (e.g., RTL variants, testbenches, verification traces)
  • •Building evals that correlate with downstream design metrics (e.g., timing closure, power, area, verification coverage)
  • •Ability to collaborate with hardware engineers, RL researchers, and verification specialists to drive model improvement
Experience:SemiconductorAI hardwareMachine learningReinforcement learning
Skills:CollaborationCommunicationProblem-solving
Tech Stack:RTLNetlistsPDKsSimulation logsGPUsDistributed trainingReinforcement learning

Company Brief

Volt AI
Builds AI-driven software and solutions to automate business workflows, extract insights, and augment decision-making for enterprise customers across industries.
Industry: Enterprise Software
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