Software Engineering Manager, SambaNova Systems

Generative AI

$190-215k

Plus equity

PyTorch
Senior and Expert level
San Francisco Bay Area

Office located in Palo Alto, CA

SambaNova Systems

Platform for artificial intelligence innovation

Job no longer available

SambaNova Systems

Platform for artificial intelligence innovation

201-500 employees

B2BArtificial IntelligenceAnalytics

Job no longer available

$190-215k

Plus equity

PyTorch
Senior and Expert level
San Francisco Bay Area

Office located in Palo Alto, CA

201-500 employees

B2BArtificial IntelligenceAnalytics

Company mission

To accelerate the development and deployment of artificial intelligence for everyone.

Role

Who you are

  • 8+ years of experience in software engineering
  • 3+ years in managing software engineering teams
  • Have experience with code review and helping unblock engineers by diving into technical details
  • Experience with PyTorch
  • Hands on experience with LLMs, Multimodal, and NLP applications
  • B.S, M.S. or PhD in Computer Science or a related field
  • People management experience: Coaching, performance evaluation, mentorship, career development
  • Project management skills: Prioritization, communicating across team/org boundaries

Desirable

  • 2+ years of experience in a startup environment

What the job involves

  • We are looking for a world-class engineering leader to manage a team of talented Machine Learning engineers to deliver cutting edge LLM, speech, and multimodal technologies to production
  • One must thrive in a fast-paced environment, where you'll work closely with cross-functional teams to optimize performance and drive velocity
  • Leveraging cutting-edge techniques, you will play a vital role in our overall success in deploying state of the art AI capabilities all around the globe
  • Deliver cutting edge LLM, Speech and multimodal technologies to production while partnering with multiple stakeholders across product, compiler, platform and ML Research teams
  • Build and maintain well understood training and inference LLM methods for productization
  • Build and maintain application code used to run evaluations on various benchmarks
  • Improve developer productivity by driving process improvements via automation or other techniques
  • Build and maintain data processing utilities for LLM training

Otta's take

Theo Margolius headshot

Theo Margolius

COO of Otta

SambaNova Systems is a computing startup focused on building machine learning and big data analytics platforms. Its software-defined analytics platform enables optimum performance for any ML training, inference, or analytics models.

In 2021, SambaNova Systems became the best-funded AI systems and services platform startup in the world. Its total funding reached more than $1 billion and its valuation climbed to more than $5 billion. The company has received backing from the likes of BlackRock, Intel Capital, GV (formerly Google Ventures), among several others, and is expanding its offices in Palo Alto to accommodate this growth.

It's this support from premier investors in the industry that validates its mission to revolutionize the AI market by making it accessible to every organization.

Insights

Top investors

Some candidates hear
back within 2 weeks

-12% employee growth in 12 months

Company

Funding (last 2 of 6 rounds)

Apr 2021

$650m

SERIES D

Feb 2020

$250m

SERIES C

Total funding: $1.1bn

Company benefits

  • Flexible PTO in US
  • Parental Leave
  • Benefits (medical, dental and vision)
  • Flexible Spending Accounts
  • 401k/Pensions
  • Gym Access
  • Flexible Working Hours

Company values

  • We work with integrity
  • Innovation that makes an impact
  • We pride ourselves on top talent

Company HQ

Palo Alto, CA

Articles

Founders

They studied at Stanford before spending 7 years as a Hewlett-Packard Hardware Manager, and working as Director of Engineering at inSilicon and Afara Websystems. Having spent a combined 15 years as VP of Sun Microsystems and then Oracle Corporation, they co-founded SambaNova in November 2017.

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