Machine Learning Performance Architect - Santa Clara, United States - d-Matrix

d-Matrix

Verified Company

Santa Clara, United States

2 weeks ago

Posted by:

Mark Lane

beBee recruiter

Description

Location

Santa Clara, Ca

Type

Full time

Department

R&D
CTO & Architecture

Compensation

$180K - $300K - Offers Equity - Offers Bonus

The pay range below is for all roles at this level across all US locations and functions. Individual pay rates depend on a number of factors—including the role's function and location, as well as the individual's knowledge, skills, experience, education, and training. We also offer incentive opportunities that reward employees based on individual and company performance. This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. In addition to the usual Medical/Dental/Vision/401k, our inclusive rewards plan empowers our people to care for their whole selves. An investment in your future is an investment in ours.

_d-Matrix has fundamentally changed the physics of memory-compute integration with our digital in-memory compute (DIMC) engine. The "holy grail" of AI compute has been to break through the memory wall to minimize data movements. We've achieved this with a first-of-its-kind DIMC engine. Having secured over $154M, $110M in our Series B offering, d-Matrix is poised to advance Large Language Models to scale Generative inference acceleration with our chiplets and In-Memory compute approach. We are on track to deliver our first commercial product in 2024. We are poised to meet the energy and performance demands of these Large Language Models._
_The company has 100+ employees across Silicon Valley, Sydney and Bengaluru. _

Location:

Hybrid, working onsite at our Santa Clara, CA headquarters 3 days per week.

The role:

Machine Learning Performance Architect**
What you will do:As part of this team, you will be responsible for design space exploration, workload characterization/mapping spanning the data plane as well as control plane in the SoC.

You will design, model and drive new architectural features to help design next generation hardware. You will evaluate performance of cutting edge AI workloads.

You have had past experience working on performance architecture of GPUs/AI Accelerators and understand the nuances of what it takes to optimize and trade-off various aspects of hardware-software co-design.

You are able to build and scale software deliverables in a tight development window.

You will work with a team of hardware architects to build out the modeling infrastructure and working closely with other software (ML, Systems, Compiler) and hardware (mixed signal, DSP, CPU) experts in the company.

What you will bring:

Minimum:

MSEE, Computer Science, Engineering, Math, Physics or related degree + 5 of industry experience, PHD with 1+ Year of industry experience preferred.
Strong grasp of computer architecture, data structures, system software, and machine learning fundamentals.
Experience with performance modeling, analysis and correlation (w/ RTL) of GPU/AI Accelerator architectures.
Proficient in C/C++ or Python development in Linux environment and using standard development tools.
Experience with deep learning frameworks (such as PyTorch, Tensorflow).
Experience with inference servers/model serving frameworks (such as Triton, TFServ, KubeFlow, ).
Experience with distributed systems collectives such as NCCL, OpenMPI,...
Experience with MLOps from definition to deployment including training, quantization, sparsity, model preprocessing, and deployment.
Selfmotivated team player with a strong sense of ownership and leadership

Preferred:

Prior startup, small team or incubation experience.
Work experience at a cloud provider or AI compute / subsystem company.
Experience with opensource ML compiler frameworks such as MLIR.
Equal Opportunity Employment Policy

d-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We're committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.