Company profile
Remote jobs at Atomic Canyon
Atomic Canyon builds AI tools for the nuclear energy industry, including Neutron, an enterprise search and retrieval workbench for nuclear professionals, and FERMI, an open-source model trained on NRC data with Oak Ridge's Frontier supercomputer.
- Industry
- Artificial intelligence software for the nuclear energy industry
- Company size
- 2-10
- Founded
- 2024
- Funding
- Round $7M SeedStructure
$7M seed announced 28 May 2025, led by Energy Impact Partners' Elevate Future Fund. Subsequent strategic investments: NVIDIA ($3M, Nov 2025) and JERA (Sep 2025). NVIDIA also announced a collaboration around NIVA, the Nuclear Industry VirtuaView more
$7M seed announced 28 May 2025, led by Energy Impact Partners' Elevate Future Fund. Subsequent strategic investments: NVIDIA ($3M, Nov 2025) and JERA (Sep 2025). NVIDIA also announced a collaboration around NIVA, the Nuclear Industry VirtuaLead investor Energy Impact Partners (Elevate Future Fund)Participants Energy Impact Partners, NVIDIA, JERA, Commonweal Ventures
Jobs
Most common locations
- Continental US time zones (US citizenship required for clearance)1
- Continental US time zones1
Most common roles
- AI Engineer1
- DevOps1
Atomic Canyon currently has 2 open remote roles on Hidden Jobs. 0 were added during the last 7 days. The most represented roles are AI Engineer (1), DevOps (1). Salary information is not disclosed on the current active listings. The most common eligibility is Continental US time zones (US citizenship required for clearance) (1), Continental US time zones (1).
Experience levels represented: Not specified (2).
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Current openings
2 active roles detected; full descriptions are public and original application links require Hidden Jobs Access.
Platform Engineer
Own the infrastructure that delivers an AI-powered search platform to nuclear utilities, national laboratories, and international agencies. The role spans Kubernetes across commer…
AI/ML Software Engineer
Contribute to a remote AI/ML engineering team building open-source models tailored for the nuclear energy sector. Work spans document understanding, retrieval-augmented generation…