AI Software Solutions Engineer - Technical Lead / Principal

About the position

At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration. We value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI.

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.

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.

Nice-to-haves

• 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.).