Engineering Lead, GPU Systems

Blue Signal Search; Fremont (CA); In loco; USD 180.000 - 260.000; Tempo pieno

Descrizione del lavoro

Blue Signal Search is seeking a distinguished technical leader to direct a high-performing engineering team focused on advancing GPU-powered computing technologies, centered on NVIDIA-based platforms for complex AI and HPC workloads.

The role emphasizes shaping engineering execution, developing people, and influencing technology decisions while maintaining hands-on engagement in GPU servers and infrastructure. A strong ownership mindset and demonstrated leadership are essential.

Competenze

• Proven experience leading engineering teams focused on GPU-powered computing.
• Strong ownership mindset and ability to drive technical direction.
• Experience with NVIDIA-based platforms and HPC/AI workloads.

Mansioni

• Guide and develop a small engineering team with clear expectations.
• Oversee development of advanced computing solutions for complex applications.
• Maintain hands-on involvement with GPU servers, clustering, storage, and networking to guide decisions.
• Translate technical and business requirements into priorities, plans, and milestones.
• Mentor engineers and foster accountability, initiative, and quality.

Conoscenze

Technical leadership

NVIDIA GPU compute

Mentorship

Strategic planning

Cross-functional collaboration

Hands-on engineering

Formazione

Bachelor’s degree in Engineering/CS

Strumenti

GPU compute infrastructure

Descrizione del lavoro

Our client is looking for an accomplished technical leader to direct a high-performing engineering team focused on advancing GPU-powered computing technologies. This position offers the opportunity to influence sophisticated NVIDIA-centered compute environments while shaping engineering execution, developing people, and remaining close to the technology. The ideal candidate combines technical credibility with strong ownership and a genuine commitment to helping a team succeed. For someone who wants broader influence than a narrowly defined management role, this is an opportunity to make a visible impact across engineering, technology decisions, and customer solutions.

This Role Offers

• Hands-on experience working with NVIDIA-based platforms and solutions designed for complex artificial intelligence and large-scale computational environments.
• Significant visibility and the opportunity to influence technical direction, engineering practices, and solution development.
• Competitive base compensation with flexibility based on experience and overall fit, plus a company-performance-based bonus opportunity.

Focus

• Guide and develop a small engineering team, creating clear expectations while helping individual contributors expand their technical capabilities.
• Guide the development and ongoing improvement of advanced computing solutions supporting complex technical applications.
• Maintain enough hands-on involvement with GPU servers, clustered computing, storage, and networking to effectively guide engineering decisions.
• Translate technical and business requirements into engineering priorities, project plans, resource needs, and achievable milestones.
• Enhance technical processes used to evaluate system capabilities, confirm overall functionality, and support successful implementation.
• Evaluate emerging GPU and infrastructure technologies and provide practical recommendations on their potential use.
• Collaborate with commercial, production, and operations stakeholders as technical solutions move from initial requirements through delivery.
• Participate in complex customer discussions where senior engineering judgment can help define the right technical approach.
• Encourage an engineering culture built around accountability, initiative, quality, and continuous improvement.
• Mentor engineers through thoughtful delegation, regular feedback, technical guidance, and opportunities for increased responsibility.

Skill Set

• Meaningful experience with NVIDIA GPU compute systems or infrastructure supporting HPC or AI workloads.
• Comprehensive understanding of sophisticated technical platforms and the core infrastructure required to support reliable, high-performance operations.
• Engineering leadership experience with the ability to mentor, motivate, and develop technical professionals.
• Hands-on technical credibility and the ability to engage engineers in substantive discussions about complex compute infrastructure.
• Proven ability to take initiative, work independently, and remain accountable while contributing wherever needed to support broader organizational goals.
• Strong communication skills and the ability to work effectively with technical teams, customers, business stakeholders, and operational partners.
• Strong analytical and problem-solving abilities within complex infrastructure or compute environments.
• Previous leadership experience within GPU computing, HPC, AI infrastructure, server systems, OEM, systems integration, or a closely related technical environment is highly valuable.
• Management tenure will be considered in the context of technical strength, leadership potential, ownership, and demonstrated commitment rather than against a rigid number of years.
• Experience with AMD GPU technologies, system integration environments, or customer-facing technical work is helpful but not required.
• A bachelor's degree in engineering, computer science, or a related technical discipline is preferred.