AI Software Solutions Engineer – Technical Lead / Principal
| Company | d-Matrix |
|---|---|
| Location | Santa Clara, CA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s |
| Experience Level | Senior |
Requirements
- Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related technical field.
- 5+ years in solutions engineering, AI/ML application development, or systems integration roles.
- Strong coding skills in Python and C++; proficiency with ML frameworks like PyTorch or TensorFlow.
- 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, transformers, and other emerging workloads. Optimize applications to fully leverage d-Matrix’s architecture and software stack.
- Lead integration efforts with ISV tools, SaaS platforms, and open ML ecosystems, ensuring d-Matrix solutions work seamlessly with customer-preferred tools.
- Enable setting up d-Matrix Developer Cloud. Actively leverage and support 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.
- Provide technical support to customers during onboarding, PoCs, and production rollouts.
- Build technical collateral like quick starts, integration guides, and workflow examples to streamline customer journeys.
- Help shape and expand the developer ecosystem by contributing reusable models, examples, SDK improvements, and tools that enrich the overall developer experience.
- Serve as a power user and evangelist identifying ways to improve accessibility, observability, and performance insight.
- Create and publish impactful technical content, including whitepapers, blogs, tutorials, and benchmarking reports that demonstrate the value of d-Matrix technology.
Preferred Qualifications
- Experience in customer-facing roles.
- Experience working with or building cloud-based AI developer platforms or DevOps workflows.
- Contributions to open-source AI toolkits or developer community resources.
- Understanding of AI performance KPIs (e.g., tokens/sec, latency, cost & energy efficiency).