Jobs at d-Matrix

Develop and optimize runtime firmware and low-level drivers for a multiprocessor SoC used in AI inference. Architect, implement, and validate system software, collaborate with hardware and verification teams, ensure runtime performance and delivery schedules, and debug distributed/scale-out systems.

Lead SoC architecture definition and delivery for AI accelerators. Analyze AI workloads, drive hardware/software co-design, performance modeling, simulation tools, kernel and networking fabric work, port and optimize customer workloads, and collaborate across RTL, DV, and software teams.

Design and implement efficient algorithms to optimize LLM inference on DNN accelerators. Collaborate with mathematicians, ML researchers, and engineers to apply advanced algorithmic and numerical techniques for high-impact generative AI performance improvements.

The Principal Architect will analyze ML workloads, contribute to hardware/software features for inference accelerators, and develop analytical performance models.

Own full-cycle technical recruiting for engineering roles onsite in Bangalore for a 6-12 month contract. Source, screen, and manage candidate pipelines; partner with hiring managers on role definitions and interviews; maintain ATS data hygiene (Ashby) and deliver timely candidate communication and reporting.

Contract SRE to build, operate, and automate colo, on‑prem GPU clusters, and cloud infrastructure. Own provisioning, IaC (Terraform/Ansible), observability (Prometheus/Grafana or DataDog), incident response, runbooks, and customer-facing platform reliability.

First dedicated PR hire to build and lead d-Matrix's public relations: own media relations, pitch reporters, write press releases, manage external agency, support executive communications, develop analyst and influencer relationships, and run awards and media impact tracking.

Own and scale indirect procurement covering IP/software licensing, consulting/professional services, engineering lab/hardware equipment, and corporate/facilities services. Lead sourcing, RFQ/RFPs, contract negotiations (MSA/SOW, IP licenses), procure-to-pay via Zip/NetSuite, vendor management, cost reduction, compliance, and cross-functional alignment with Engineering, Legal, Finance, HR, and Operations.

Build and lead the SRE function from scratch: hire and manage a 3–5 person team, define SLOs/SRIs and incident processes, own reliability across colo/on-prem/cloud, implement observability and IaC (Terraform/Ansible), drive shared storage migration and FinOps, serve as senior escalation for incidents, and partner with DevOps and engineering on HPC workload requirements.

Develop, optimize, and maintain software kernels and workload mappings for next-generation AI hardware. Collaborate with compiler, systems, ML, and hardware teams to map computational graphs to hardware, implement ML operators, and scale software deliverables for AI accelerators under tight schedules.

Lead junior team members in test planning, automation, and execution of software for AI compute engine, developing test suites and infrastructures, and collaborating on test coverage and results.

The role involves developing software kernels for AI hardware, optimizing algorithms for various architectures, and collaborating with compiler and hardware experts.

Responsible for end-to-end manufacturing readiness and execution for new and sustaining hardware products, managing cross-functional teams and NPI phases while ensuring quality and cost adherence.

Lead the hardware development for AI accelerator platforms, focusing on high-performance designs, cross-functional collaboration, and mentorship of junior engineers.

Responsible for developing, enhancing, and maintaining software kernels for AI hardware, mapping algorithms to architectures, and building software deliverables.

Lead end-to-end program management for post-silicon and system hardware development, coordinating firmware, board bring-up, validation, qualification, and NPI across global teams. Define milestones, metrics, dashboards, and playbooks; manage risks, external partners, and dependencies; and provide leadership updates to ensure predictable delivery and scalable processes.

The Senior Staff Software Engineer will develop and maintain software kernels for AI hardware, optimize hardware-software co-design, and work with various experts to enhance compiler infrastructure.

The Software Machine Learning Test Engineer will develop test automation for AI components, improve test infrastructure, and ensure software quality for machine learning models using Python and GitLab CI/CD.

As a Senior Staff Software Engineer, you will develop and maintain AI deployment software, optimizing hardware-software co-design, and work closely with various experts to enhance infrastructure.

The Design Verification Engineer will lead SoC verification cycles, utilizing methodologies like UVM/OVM, and contributing to innovative AI architectures.