Senior Engineering Manager - Data Center MODS (Remote - US)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Engineering Manager - Data Center MODS in the United States.

This role offers a unique opportunity to lead a high-performing engineering team focused on scaling and validating next-generation data center GPU products. The Senior Engineering Manager will oversee system-level testing, diagnostics, and stress workloads across diverse environments, from internal labs to hyperscale cloud data centers. This position combines strategic leadership with hands-on technical expertise, driving innovation, product quality, and operational efficiency. You will collaborate with multi-disciplinary teams, mentor engineers, and work closely with external partners to ensure robust and reliable GPU deployments. The ideal candidate thrives in a fast-paced, technically complex environment and is passionate about solving challenging engineering problems while developing team capabilities.

Accountabilities:

• Lead and mentor a team of engineers, fostering professional growth, technical expertise, and leadership skills.
• Drive development of stress and diagnostic software targeting GPUs, CPUs, memory, storage, and interconnects.
• Manage multiple projects concurrently, balancing long-term strategic goals with short-term deliverables.
• Collaborate with Cloud Service Providers (CSPs), OEMs, and data center operators to support deployment, diagnostics, and system-level validation.
• Champion continuous improvement in debugging efficiency, operational scalability, and product quality.
• Coordinate with architecture, ASIC, operations, and data center teams to build methodologies for rigorous subsystem testing.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field (or equivalent experience).
• 10+ years of overall experience in system software development, including 4+ years in engineering management.
• Strong programming skills in C, C++, and Python.
• Deep understanding of operating systems, kernel drivers, and hardware-software interaction.
• Experience with PC/server architecture, including PCIe, NVLink, Infiniband, or Ethernet.
• Proven track record of leading multi-team debugging efforts and feature development.

Preferred Qualifications:

• Experience in diagnostics or stress testing within large-scale data center environments.
• Familiarity with GPU compute, graphics, memory subsystems, or high-speed interfaces.
• Prior collaboration with CSPs or OEMs on system-level validation and deployment.
• Strong communication, cross-functional leadership, and mentorship skills.
• Passion for building tools and processes that ensure product excellence and customer success.

Benefits

• Competitive base salary: $272,000–$471,500 USD depending on level, experience, and location.
• Eligibility for equity and performance-based incentives.
• Comprehensive healthcare coverage including medical, dental, and vision.
• Flexible work environment supporting collaboration, innovation, and professional growth.
• Opportunity to work on high-impact, large-scale data center technologies and cutting-edge GPU systems.

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!