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AI Software Solutions Engineer – Technical Lead / Principal
Company | d-Matrix |
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Location | Santa Clara, CA, USA |
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Salary | $180000 – $300000 |
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Type | Full-Time |
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Degrees | Bachelor’s, Master’s |
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Experience Level | Senior, Expert or higher |
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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.).