d-Matrix

Software Engineer

• Development of tools and methodologies for silicon validation:
• Automation of data collection
• Instrument control interface
• Database back end including outlier detection and classification
• Data post processing and analysis for margining and debug
• Linear and logical regression, clustering, plot and report generation
• Work with high speed serial interfaces including PCI Express Gen5, LPDDR5 memory, and die to die interconnections on multi-chip module

Design Validation Engineering Intern

DevOps Engineer

• Support, monitor, and improve CI/CD execution environments, runners, and infrastructure used across engineering teams.
• Troubleshoot and resolve build issues, pipeline failures, environmental inconsistencies, and infrastructure incidents.
• Manage and automate configuration of Linux-based systems, containers, and internal services used by development teams using Ansible and Terraform.
• Own deployment, upgrade, and reliability workflows for shared tools and internal systems.
• Develop automation for routine operational tasks using Ansible, Python, and Bash.
• Create and maintain dashboards, alerting, and monitoring to ensure high availability and performance of DevOps-managed services.
• Partner with Global DevOps team members and Software Infra engineers to build a scalable, global support structure.
• Document processes, runbooks, troubleshooting guides, and onboarding materials to support a distributed DevOps team.

Senior DevOps Engineer

Full-stack Engineer

• Be part of the team that helps productize the SW stack for our AI compute engine.
• Responsible for the development, enhancement, and maintenance of software kernels for next-generation AI hardware.
• Possess experience building software kernels for HW architectures.
• Build and scale software deliverables in a tight development window.
• Collaborate with a team of compiler experts to build out the compiler infrastructure, working closely with other software (ML, systems) and hardware (mixed signal, DSP, CPU) experts in the company.

Senior Software Engineer – Kernels

• AI Tool Evaluation: Lead the internal evaluation of AI-driven layout platforms.
• Benchmarking their ability to handle high-speed constraints, complex stack-ups, and power delivery requirements against traditional manual routing.
• Workflow Automation: Develop scripts (Python, SKILL, or TCL) to bridge the gap between d-Matrix’s standard EDA tools (Cadence Allegro/OrCAD) and AI layout agents.
• PCB Design Support: Assist Senior Layout Engineers in preparing design data (schematics, netlists, and constraint files) for automated routing engines.
• Constraint Translation: Work on "translating" complex hardware constraints (differential pairs, length matching, and Z_{target} for PDN) into formats that AI agents can ingest and execute accurately.
• Performance Analysis: Conduct post-layout analysis on AI-generated designs, comparing Signal Integrity (SI) and Power Integrity (PI) metrics against human-designed baselines.

HW Engineering Intern – PCB Layout Automation, AI Tooling

Machine Learning Engineer

• Research and analyze existing KV-Cache implementations used in LLM inference, particularly those utilizing lists of past-key-values PyTorch tensors.
• Investigate “Paged Attention” mechanisms that leverage dedicated CUDA data structures to optimize memory for variable sequence lengths.
• Design and implement a torch-native dynamic KV-Cache model that can be integrated seamlessly within PyTorch.
• Model KV-Cache behavior within the PyTorch compute graph to improve compatibility with torch.compile and facilitate the export of the compute graph.
• Conduct experiments to evaluate memory utilization and inference efficiency on D-Matrix hardware.

Machine Learning Intern – Dynamic KV-Cache Modeling for Efficient LLM Inference

• Help develop functional reference models and performance simulators
• Learn to interpret hardware specification documents
• Collaborate with senior engineers and hardware designers
• Participate in model bring-up, testing, and correlation efforts
• Support debug activities across workloads and architectural scenarios

Software Engineering Intern, Simulation and Modeling

• Design, implement and evaluate efficient deep neural network architectures and algorithms for d-Matrix's AI compute engine.
• Engage and collaborate with internal and external ML researchers to meet R&D goals.
• Engage and collaborate with Software team to meet stack development milestones.
• Conduct research to guide hardware design.
• Develop and maintain tools for high-level simulation and research.
• Port customer workloads, optimize them for deployment, generate reference implementations and evaluate performance.
• Report and present progress timely and effectively.
• Contribute to publications of papers and intellectual property.

Machine Learning Research Intern

Artificial Intelligence

• Own the end-to-end manufacturing and component supplier ecosystem for server-class AI hardware platforms
• Define global ODM, CM, and component supplier strategy for AI server platforms
• Collaborate with engineering and manufacturing functions to drive flawless execution across EVT/DVT/PVT, pilot builds, and volume ramp
• Drive BOM cost optimization and margin targets through design influence and supplier strategy
• Establish quality, reliability, and continuous improvement programs across partners
• Influence product architecture and component choices based on manufacturability and risk
• Communicate manufacturing and supply risks clearly to executive leadership

Director – Partner and Supplier Management, AI Hardware

Network Operations

• Drive the evolution of the existing global networking environment to maintain secure, scalable network infrastructure across offices, labs, partners, data centers, customer development, and cloud environments.
• Enhance network security through efforts including, but not limited to, segmentation, firewall policy improvements, identity-driven access controls, and Zero Trust principles.
• Automate network configuration, monitoring, compliance checks, and change management using modern automation tools (e.g., Ansible, Python, etc.).
• Maintain and optimize switches, routers, firewalls, VPNs, wireless networks, and WAN connectivity.
• Implement best-in-class monitoring, logging, and alerting to proactively detect security and operational issues such as intrusions, break-ins/compromised entryways, data issues, and connectivity bottlenecks.
• Partner with IT and DevOps and Security to build a unified, automated infrastructure foundation with consistent best practices, security, and policy enforcement.
• Lead or contribute to network-related incident response, troubleshooting, and post-mortems.
• Take a technical leadership role in architecting and implementing global infrastructure scaling for new office/lab expansions, production-like test environments, customer support, and data center environments.
• Develop and enforce network standards, documentation, runbooks, and operational SOPs.
• Evaluate new networking and security-focused technologies and solutions as d-Matrix expands and matures into a global enterprise environment.

Staff Network Operations Engineer

SDET

• Lead junior team members with test planning, test automation, and execution
• Responsible for the development of test suites, test cases, and test infrastructures
• Work with software development teams to design, automate, and execute use cases
• Implement Python programs to test workloads and ML models
• Collaborate with product and software development teams on test coverage and results

Senior Staff Software ML Test Engineer

• The role requires you to be part of the team that helps productize the SW stack for our AI compute engine.
• As part of the software team, you will be responsible for the development, enhancement, and maintenance of software kernels for next-generation AI hardware.
• You possess experience building software kernels for HW architectures.
• You possess a very strong understanding of various hardware architectures and how to map algorithms to the architecture.
• You understand how to map computational graphs generated by AI frameworks to the underlying architecture.
• You have had past experience working across all aspects of the full-stack toolchain and understand the nuances of what it takes to optimize and trade off various aspects of hardware-software co-design.
• You can build and scale software deliverables in a tight development window.
• You will work with a team of compiler experts to build out the compiler infrastructure, working closely with other software (ML, systems) and hardware (mixed signal, DSP, CPU) experts in the company.

Senior Staff Software Engineer – Kernels

• Be part of the team that helps productize the SW stack for our AI compute engine.
• Responsible for the development, enhancement, and maintenance of software kernels for next-generation AI hardware.
• Build and scale software deliverables in a tight development window.
• Work with a team of compiler experts to build out the compiler infrastructure.
• Collaborate with other software (ML, systems) and hardware (mixed signal, DSP, CPU) experts in the company.

Staff Software Engineer – Kernels

Recruitment

• Lead the d-Matrix’s global hiring engine as we scale into a world-class AI inference company;balancing speed, quality, and culture at every stage.
• Set the standard for hiring excellence by rolling out structured interviews, training, and calibration that help leaders make consistently great hiring decisions.
• Partner with executive leadership on senior hiring, leadership assessment, and long-term workforce planning tied directly to business priorities.
• Design recruiting for scale by building the systems, processes, and metrics that enable predictable, data-driven growth across technical and business teams.
• Own the d-Matrix talent brand and candidate experience, ensuring every interaction reflects who we are and why top talent should join us.
• Lead the recruiting tech and analytics stack, including our ATS - Ashby, to keep our hiring engine efficient, modern, and globally scalable.
• Build and grow an exceptional talent team, while embedding inclusive hiring practices into everything we do.

Head of Talent Acquisition

Technical Recruiter

• Manage full cycle recruiting for multiple, complex searches, creating innovative sourcing strategies and engagement to bring the best talent to each role.
• Develop and execute fully comprehensive sourcing plans, analyzing requirements to determine target profile needs and matches.
• Coordinate closely with recruiting team members to innovate our research strategy for talent pooling, market mapping and competitor analysis.
• Collaborate closely with hiring managers throughout the recruiting process to ensure we meet their hiring needs and goals.
• Regularly manage pipeline activity and maintain data integrity, and proactively share data-centric updates with internal stakeholders.
• Facilitate and lead meetings and key initiatives and projects with client groups, and with the recruiting teams, that will continuously improve and scale our recruiting operations and results.
• Establish and maintain meaningful relationships with management and key cross-functional stakeholders internally (e.g. Recruiting, HR, ELT).
• Drive offer process - including extending offers, negotiations, and closing candidates.
• Actively engage in diversity and inclusion hiring strategies. Demonstrates Data Integrity and experience understanding Data to help influence hiring decisions.