Senior Staff AI Software Applications Engineer, d-Matrix
$180-300k
+ Equity + Bonus
3+ days a week in office (Santa Clara, CA)
AI computing and efficiency software
Open for applications
AI computing and efficiency software
201-500 employees
Open for applications
$180-300k
+ Equity + Bonus
3+ days a week in office (Santa Clara, CA)
201-500 employees
Company mission
To unleash the potential of generative AI to power the transformation of technology.
Role
Who you are
- Bachelors or Masters degree in Electrical Engineering, Computer Engineering, Computer Science, or related field with 10+ years of experience
- In-depth knowledge and hands-on experience with generative AI inference at scale, including the integration and deployment of AI models in production environments
- Experience with automation tools and scripting languages (Linux or Windows shell scripting, Python, Go) to streamline deployment, monitoring, and issue resolution processes
- Hands-on experience with AI/ML infrastructure accelerators (e.g., GPUs, TPUs) and expertise in optimizing performance for generative AI inference workloads
- Ability to communicate complex technical concepts to diverse audiences, from developers to business stakeholders
Desirable
- Prior experience in customer facing roles for enterprise-level AI and datacenter products, with a focus on AI/ML software and generative AI inference with GPUs or accelerators
- Understanding of domain-specific hardware architectures (for example, GPUs, ML accelerators, SIMD vector processors, and DSPs) and how to map ML algorithms to an accelerator architecture
- Strong analytical skills with a proven track record of solving complex problems in AI/ML systems, including performance optimization and troubleshooting in AI/ML frameworks
- Extensive experience with the deployment of AI/ML frameworks such as PyTorch, OpenAI Triton, VLLM, and familiarity with container orchestration platforms like Kubernetes
- Excellent communication and presentation skills, with a demonstrated ability to guide customers through complex AI/ML system integration and troubleshooting
What the job involves
- D-Matrix is seeking an experienced AI Applications Engineer to drive the successful deployment and support of d-Matrix’s cutting-edge AI products and solutions, specifically in the realm of generative AI inference and AI/ML software support
- In this highly technical role, you will work closely with customers and internal teams to resolve complex software, hardware, and firmware challenges related to AI workloads
- Provide expert guidance and support to customers deploying generative AI inference models, including assisting with integration, troubleshooting, and optimizing AI/ML software stacks on d-Matrix hardware
- Perform functional and performance validation testing, ensuring that AI models run efficiently and meet customer expectations
- Evaluate throughput and latency performance for d-Matrix accelerators, profile workloads to identify bottlenecks, and optimize performance (including quantization, custom kernel development and so on)
- Collaborate with internal engineering and product teams to produce developer guides, technical notes, and other supporting materials that ease the adoption of d-Matrix AI/ML solutions
Our take
d-Matrix is redesigning how AI gets done, tackling the limit f traditional chips with its Corsair platform. Using digital in-memory computing and a chiplet-based design, it delivers fast, power-efficient AI interface that's built for today's data-heavy models, without the energy overload.
Recently, the company has been making some serious moves. Its secured substantial funding, with backing from Microsoft, and partnering with HTEC to boost its software capabilities. With Corsair already showing serious speed gains over GPUs like Nvidia's H100, d-Matrix is proving it can deliver real-world performance at scale.
But instead of competing head-on with GPU giants, d-Matrix is focusing on where AI meets people. And with AI growing fast, especially for interactive and generative applications, d-Matrix is building the hardware that helps AI keep up with this demand.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (2 rounds)
Sep 2023
$110m
SERIES B
Apr 2022
$44m
SERIES A
Total funding: $154m
Company benefits
- Equity
- Health care
- Flexible time-off
- Paid paternity leave
- 401k retirement plan
- Remote & hybrid working model
- Work with world-leading engineers and researchers
- Peer coaching & development
- Team-building activities
- Happy hours
- Free food and snacks
- On-site fitness center
Company HQ
Santa Clara, CA
Leadership
Sid Sheth
(Co-Founder, CEO & President)Previously Director at NetLogic Microsystems, Director of Marketing at Broadcom Inc and SVP/GM at Inphi Corporation.
Sudeep Bhoja
(Co-Founder & CTO)Previously CTO at Inphi Corporation, Technical Director at Broadcom and Chief Architect at Big Bear Networks.
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