Artificial Intelligence Hardware Engineer (Remote - US)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an Artificial Intelligence Hardware Engineer in the United States.

This is an exciting opportunity for an engineer passionate about advancing the next generation of AI hardware. You will play a key role in designing, developing, and optimizing specialized hardware architectures tailored for machine learning and deep learning workloads. Working closely with software and research teams, you’ll help build efficient, high-performance systems that power cutting-edge AI applications. This role combines deep technical expertise in hardware design, AI acceleration, and system optimization with a creative approach to solving complex engineering challenges. It’s a chance to shape the future of intelligent computing in a fast-moving and collaborative environment.

Accountabilities

• Design and develop custom hardware architectures optimized for AI algorithms, including neural network accelerators and SoC solutions.
• Collaborate with cross-functional teams to align hardware specifications with AI software requirements and system performance goals.
• Implement and optimize algorithms for hardware acceleration through parallel processing, pipelining, and memory management techniques.
• Conduct detailed benchmarking and performance analysis to ensure scalability, power efficiency, and reliability of AI hardware systems.
• Work with software engineers to integrate hardware solutions into existing AI frameworks and development pipelines.
• Research emerging technologies in AI hardware design, evaluating new approaches and contributing to innovation initiatives.
• Document specifications, designs, and testing methodologies for internal and external stakeholders.
• Mentor junior engineers and contribute to a culture of continuous improvement and technical excellence.

• Bachelor’s degree in Computer Engineering, Electrical Engineering, or related field (Master’s or Ph.D. preferred).
• Minimum of 3 years of experience in hardware design and optimization for AI or high-performance computing applications.
• Proficiency in hardware description languages (Verilog, VHDL) and experience with FPGA or ASIC development tools.
• Strong understanding of deep learning frameworks (TensorFlow, PyTorch) and their hardware acceleration needs.
• Experience with GPU, FPGA, or ASIC acceleration for AI inference and training.
• Knowledge of system-level design, including power, thermal, and performance optimization considerations.
• Excellent analytical and problem-solving skills with a creative, innovation-driven mindset.
• Strong communication and teamwork abilities, comfortable working in multidisciplinary environments.
• Experience with full product development cycles or project management is a plus.

• Competitive salary aligned with experience and skill level.
• Hybrid or remote work flexibility.
• Opportunities for professional growth and participation in cutting-edge AI research.
• Health, dental, and vision insurance packages.
• Paid time off, holidays, and additional wellness benefits.
• Collaborative, innovation-driven culture within a high-impact AI technology environment.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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