Posted in

AI Software Solutions Engineer – Technical Lead / Principal

AI Software Solutions Engineer – Technical Lead / Principal

Companyd-Matrix
LocationSanta Clara, CA, USA
Salary$180000 – $300000
TypeFull-Time
DegreesBachelor’s, Master’s
Experience LevelSenior, Expert or higher

Requirements

  • Bachelor’s degree in Computer Science, Electrical Engineering, or related technical field with 10+ years in Application Engineering, AI/ML application development, or systems integration roles, 5+ in Leadership OR Masters preferred with 7+ years in solutions engineering, AI/ML application development, or systems integration roles and 5+ years in Leadership.
  • Strong coding skills in Python and C++; proficiency with ML frameworks like PyTorch, VLLM etc.
  • Experience integrating with or developing for cloud-based AI stacks (SaaS, MLOps, inference platforms).
  • Familiarity with deploying models via cloud services or containerized inference runtimes.
  • Excellent communication skills, with a track record of authoring technical documentation or blog content.

Responsibilities

  • Architect, implement, and validate end-to-end AI pipelines for LLMs and other emerging gen AI workloads. Optimize these to fully leverage d-Matrix’s hardware and software stack.
  • Enable integration of d-Matrix software stack with ISV tools, SaaS platforms, and open ML ecosystem tools ensuring d-Matrix solutions work seamlessly with customer-preferred tools.
  • Actively leverage and support the d-Matrix Developer Cloud to accelerate proof-of-concepts, benchmarking, and demo workloads.
  • Guide developers and customers in onboarding, accessing tooling, and utilizing the Developer Cloud’s resources for testing and experimentation.
  • Serve as a power user and evangelist for the Developer Cloud, identifying ways to improve accessibility, observability, and performance insight.
  • Help shape and expand the developer ecosystem by contributing reusable models, examples, SDK improvements, and tools that enrich the overall developer experience.
  • Build technical collateral like quickstarts, integration guides, and workflow examples to streamline customer journeys.
  • Create and publish impactful technical content, including whitepapers, blogs, tutorials, and benchmarking reports that demonstrate the value of d-Matrix technology.

Preferred Qualifications

  • Experience working with or building cloud-based AI developer platforms or DevOps workflows.
  • Experience in customer-facing roles.
  • Contributions to open-source AI tools or developer community resources.
  • Understanding of AI performance KPIs (e.g., tokens/sec, latency, cost & energy efficiency, etc.).