Base Salary
$175k - $285k/yr
Responsibilities
- Analyze emerging ML workloads, multimodal LLMs, chain-of-thought reasoning models, and video/audio generation for performance-relevant properties.
- Build and maintain analytical performance models for current and future d-Matrix hardware generations.
- Develop and extend architecture simulators for proposed hardware/software features.
- Collaborate with hardware design, compiler, inference server, kernel, and product teams to validate modeling assumptions and identify downstream implications.
- Track AI/ML architecture and algorithm research and incorporate relevant findings into modeling work.
- Propose hardware/software feature improvements based on modeling and workload-analysis results.
- Document modeling methodologies and findings for reuse across the architecture team.
Requirements
- BSEE with 6+ years of industry experience or MSEE with 4+ years of industry experience.
- Working knowledge of computer architecture, hardware/software co-design, performance modeling, and ML fundamentals, particularly DNNs.
- Programming fluency in C, C++, or Python.
- Experience building or working with analytical performance models or architecture simulators.
- Experience optimizing AI/ML workloads on accelerator technologies is preferred.
- Research or investigation experience in AI/ML architecture or microarchitecture is preferred.
- Self-motivated and collaborative, with comfort working across hardware and software teams.
Benefits
- Hybrid onsite schedule in Santa Clara, California, three days per week.
- Remote work within the United States may be considered.
- Equal opportunity and affirmative action workplace.
About d-Matrix
d-Matrix is an AI infrastructure company building the next generation of inference computing for the era of generative and agentic AI. Founded in 2019, d-Matrix is rethinking AI inference from the ground up with a full-stack approach spanning silicon, systems, networking, and software. Its flagship products, including the Corsair™ inference platform and JetStream™ inference fabric, are purpose-built to deliver high-performance, low-latency, and energy-efficient AI inference at datacenter scale. The company has raised nearly $500 million from a global syndicate of leading venture capital firms, sovereign wealth funds, and strategic investors, including Playground Global, Bullhound Capital, M12 (Microsoft’s Venture Fund), SK hynix, Temasek, Qatar Investment Authority, and Singapore’s EDBI. The company’s most recent financing valued d-Matrix at approximately $2 billion. As AI shifts from training to inference, the demands on AI infrastructure are changing. d-Matrix is building the infrastructure required to power the next generation of real-time AI at scale.