Remote Jobs at Untether AI

Candidates should possess a Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or a related field, along with a minimum of 5 years of experience in RTL design for both ASIC and FPGA technologies. Applicants should have at least 3 years of direct experience working with complex FPGA designs and hardware emulation systems, demonstrating a proven ability to develop and maintain high-quality design documents. Strong verbal and written communication skills are also requir…

Candidates must possess 10+ years of experience in the compute/server/datacenter industry, with at least 3 years of experience working with accelerated AI solutions utilizing GPUs or custom AI accelerators. Successful experience in specifying, building, and deploying rack-scale hardware and software infrastructure is required, and experience working at AIaaS cloud service providers, on-prem datacenter, or high-performance computing labs is highly desirable. Strong interpersonal skills, including…

Candidates should possess a Bachelor’s or Master’s degree in Electrical Engineering or Computer Engineering, along with at least 3 years of proven experience in formal verification, specifically Formal Property Verification. They must have hands-on experience with formal verification tools like Cadence JasperGold or Synopsys VC Formal, and demonstrate expertise in SystemVerilog Assertions (SVAs). A solid understanding of RTL design using Verilog or VHDL, combined with knowledge of digital design…

Candidates must possess technical and people leadership experience, with demonstrated experience developing high-end custom silicon such as CPUs, GPUs, SOCs, NICs, and other specialized hardware. They should have firsthand experience with the first silicon success of new hardware, including leading firmware and/or silicon validation teams. Familiarity with clocks, resets, PCB components, and complex IPs like PCIe or DRAM is essential, as is experience delivering test software to silicon and PCB …

Candidates should possess 7+ years of experience in binning large chips such as CPUs, GPUs, SOCs, and NICs, along with a deep understanding of silicon variation across process, frequency, and temperature. Experience with yield recovery, repair, or floor sweeping is preferred, and clear vision for organizing and presenting data is essential.