Technical Account Manager - GPU Technology

 Job Title: Technical Account Manager(TAM) – GPU Technology

Location: Remote - US

Department: Sales

Reports To: Director of TAM’s

Compensation:  $130,000 - $150,000 salary + Commission Eligible

Who we are: Lynx delivers modular, open standards-based software solutions that redefine the economics of developing, deploying, and maintaining high assurance, mission critical edge platforms. These secure edge computing solutions are designed to drive innovation and operational excellence in today’s most demanding environments. From advancing aerospace and defense capabilities to transforming commercial and industrial systems, Lynx collaborates across a wide range of industries, including automotive, medical, and critical infrastructure, to deliver tailored, high assurance solutions aligned with specific mission and operational requirements. Our key products and services are: 

• LYNX MOSA.ic: A software platform that can include a LYNX safety-critical real-time operating system. MOSA.ic's modular design provides robust support for multicore processing. It allows different operating systems and applications of different criticality levels to be run on separate cores for improved performance, reliability, and security.
• CoreSuite 2.0: A suite of graphics libraries and tools that enable GPU hardware acceleration for both graphics and "GPU Compute", supporting applications such as machine learning and AI processing in edge devices.
• MOSA.ic.SCA and Vigiles, tools that provide Software Bill of Materials (SBOM) and Common Vulnerabilities Exposure (CVE) management for embedded Linux-based and other applications.
• Software development services for high-reliability applications that can include initial setup of a "DevSecOps" development environment, software application development, and long-term product lifecycle management. 

Position Overview

As a Technical Account Manager (TAM) specializing in GPU technology, you will serve as the primary technical liaison between Lynx Software and our customers. You will combine strong GPU architecture knowledge with solutions selling skills to build trusted relationships, address complex technical requirements, and ensure successful deployment of GPU‑enabled software solutions. You will work closely with a skilled Account Executive who owns the commercial relationship and deal execution, while you own the technical strategy, solution fit, and technical close. A strong partnership between sales and technical leadership is critical to success in this role.

Key Responsibilities

Customer Relationship Management

• Develop and maintain strong relationships with key customer stakeholders, including platform architects, GPU developers, DevOps teams, and technical decision‑makers.
• Serve as the primary point of contact for GPU‑related technical inquiries, architecture discussions, and performance optimization needs.
• Establish Lynx Software as a trusted technical advisor for GPU‑centric initiatives.

Solutions Selling

• Understand customer requirements related to GPU compute, acceleration, and software integration.
• Present and demonstrate solutions that address GPU workloads such as AI/ML training and inference, HPC, visualization, or real‑time processing.
• Translate customer use cases into technically sound, scalable solutions that align with business objectives.

GPU Technical Expertise

• Maintain deep expertise in GPU architectures, drivers, runtimes, and software ecosystems.
• Support customers using technologies such as NVIDIA GPUs (CUDA, cuDNN, TensorRT), AMD GPUs (ROCm), or other accelerator platforms.
• Advise customers on performance tuning, memory optimization, parallel programming models, and system architecture tradeoffs.
• Stay current on GPU industry trends, hardware roadmaps, and emerging standards.

Implementation and Lifecycle Support

• Collaborate with engineering, product management, and support teams to ensure successful onboarding, deployment, and scaling of GPU‑based solutions.
• Assist customers with integration challenges, debugging, performance bottlenecks, and production readiness.
• Support customers throughout the full solution lifecycle, from proof‑of‑concept to production deployment.

Customer Advocacy

• Act as the voice of the customer within Lynx Software, ensuring feedback from GPU‑focused accounts informs product direction and roadmap priorities.
• Identify opportunities for product enhancements, platform optimization, or new GPU‑focused offerings.

Sales and Business Development

• Support the sales process by leading technical discovery, architecture reviews, proof‑of‑concepts, and solution demonstrations.
• Drive the technical close to enable the Account Executive to secure the business close.
• Identify opportunities for expansion, upsell, and cross‑sell within existing GPU‑centric accounts.

Documentation and Reporting

• Maintain detailed documentation of customer architectures, technical requirements, and solution deployments.
• Provide regular account updates, technical risk assessments, and progress reports to internal stakeholders.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related technical field. Advanced degree preferred.
• Proven experience in a Technical Account Manager, Solutions Engineer, or Field Engineer role supporting GPU‑based or high‑performance systems.
• Strong understanding of GPU computing concepts, parallel programming, and accelerator‑based architectures.
• Experience working with AI/ML, HPC, data center, or edge compute workloads.
• Ability to communicate complex technical concepts clearly to both technical and executive audiences.
• Demonstrated success in solutions selling and supporting technically complex sales cycles.
• Excellent problem‑solving, presentation, and interpersonal skills.
• Ability to manage multiple accounts and priorities in a fast‑paced environment.
• Willingness to travel (estimated 25%) of the time as needed to support customer engagements.

Preferred Qualifications

• Hands‑on experience with CUDA, OpenCL, ROCm, or similar GPU programming frameworks.
• Familiarity with containerized GPU workloads (Docker, Kubernetes, NVIDIA GPU Operator).
• Experience with AI/ML frameworks such as PyTorch, TensorFlow, or ONNX.
• Background in system‑level performance analysis, profiling, or optimization.
• Experience supporting enterprise or mission‑critical compute environments.

Sound Exciting? Get in touch today! We have very robust benefits including: 

• Low-cost Medical / Dental / Vision coverage options 
• 401K with generous employer match 
• Responsible Paid Time Off + 11 Paid Holidays 
• Remote work opportunities based on role 
• Employee Assistance Program (EAP) 
• Career growth and professional development opportunities 

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.