Computer Engineering Expert - AI Content Specialist Location: Remote About the job At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting-edge AI models.
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Country-wide jobs always show. Picking a state also reveals jobs limited to that state.
Annual salary floor. Hourly-only roles pass through.
- United States (US: OR)
- From $136,000/yr
- Jul 15, 2026
We are now looking for a CPU Design Methodology Engineer! The complexity of chip development has greatly increased over the years.
- United States
- $70–$100/hr
- Jul 3, 2026
Help train frontier AI systems by designing realistic ASIC/SoC engineering tasks, creating RTL and verification solutions, and evaluating AI-generated hardware designs using real-world semiconductor engineering expertise.
- United States
- From $136,000/yr
- Jun 10, 2026
The NVIDIA Clocks Team is looking for an excellent Senior ASIC Verification engineer with extensive experience in Design Verification. The NVIDIA Clocks Team is committed to deliver high-quality clocking and reset logic to various units in SOC and GPU ASIC.
- United States
- From $136,000/yr
- Jun 9, 2026
NVIDIA is seeking an exceptional Senior SoC ASIC Verification Engineer to confirm the functionality of the world’s most powerful AI-enabled SoCs. These SoCs power self-driving cars, gaming consoles, and automated machines.
- Remote (Global)
- $110-$190/hr
- May 31, 2026
A leading AI research organization is evaluating how advanced AI systems perform in specialized engineering domains and is seeking experienced hardware engineers with deep RTL expertise in SystemVerilog and/or Verilog. This role focuses on assessing complex real-world hardware…
- United Kingdom
- May 14, 2026
NVIDIA is seeking a technical leader interested in defining, crafting, implementing, and guiding the implementation of security research, architecture, implementation, and design for next-generation NVIDIA Networking products.
- United States (US: CA)
- From $184,000/yr
- Feb 27, 2026
NVIDIA is seeking a world-class computer architect to contribute to the development of future high-performance computing systems, with a focus on enhancing the power-constrained performance of the hardware.
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