Principal Software Engineer, Distributed Systems at d-Matrix

Santa Clara, California, United States

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$196,000 – $327,000Compensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

AI, TechnologyIndustries

Requirements

BS in Computer Science, Engineering, Math, Physics or related degree / MS Preferred
Strong grasp of computer architecture, data structures, system software, and machine learning fundamentals
Leadership experience at manager or senior manager level with software for AI accelerator HW
Proficient in C/C++ and Python development in Linux environment and using standard development tools
Experience designing and implementing algorithms in high level languages such as C/C++, Python
Experience with host bring-up of specialized hardware such as NICs, network FGPAs, smart NICs
Experience with distributed systems software such as message passing, MPI
Experience with designing and integrating systems for reliability, high availability, fault tolerance, failover
Experience with cluster orchestration including defining containers, integration with Kubernetes
Experience with performance benchmarking and tuning of large scale distributed systems
Self-motivated team player with a strong sense of ownership and leadership
Experience building large scale systems for novel HW architectures
Very strong understanding of scaleout and data communication collectives
Experience working across all aspects of a full stack tool chain for an accelerator and understanding hardware-software co-design nuances
Ability to build and scale software deliverables in a tight development window

Responsibilities

Lead the development, enhancement, and maintenance of the distributed systems software stack for scaleout of next generation AI hardware
Help productize the SW stack for the AI compute engine as part of the software team
Build software to enable scaleout, including support for data plane operations such as protocol translation hardware NICs
Build software for control and management plane operations such as telemetry, monitoring, micro-services, container orchestration, and datacenter network tooling
Collaborate with the HW and SW architecture team, the compiler team, the data science numerics team, SW test group, the benchmark group, and the teams developing simulator and emulation platforms

Skills

Distributed Systems

Runtime Software

Inference Engines

Embedded Chip Software

Scaleout Systems

Protocol Translation

Hardware NICs

Telemetry

Monitoring

Microservices

Container Orchestration

Datacenter Networking

Data Communication Collectives

d-Matrix

AI compute platform for datacenters

About d-Matrix

d-Matrix focuses on improving the efficiency of AI computing for large datacenter customers. Its main product is the digital in-memory compute (DIMC) engine, which combines computing capabilities directly within programmable memory. This design helps reduce power consumption and enhances data processing speed while ensuring accuracy. d-Matrix differentiates itself from competitors by offering a modular and scalable approach, utilizing low-power chiplets that can be tailored for different applications. The company's goal is to provide high-performance, energy-efficient AI inference solutions to large-scale datacenter operators.

Santa Clara, CaliforniaHeadquarters

2019Year Founded

$149.8MTotal Funding

SERIES_BCompany Stage

Enterprise Software, AI & Machine LearningIndustries

201-500Employees