Software Engineering Director - Inference Platform

Reposted 15 Days Ago
Be an Early Applicant
San Jose, CA, USA
In-Office
245K-325K Annually
Senior level
Artificial Intelligence • Hardware • Machine Learning • Natural Language Processing • Software • Generative AI
SambaNova is the #1 platform for business AI.
The Role
The role involves leading a software engineering team focused on AI infrastructure and enterprise software, ensuring technical quality and team development while also contributing as a hands-on engineer.
Summary Generated by Built In

The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale.

SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets.

About the team

The SambaStack team builds the inference serving platform enterprises and service providers use to host foundation models on RDU hardware. The platform is cloud-agnostic, and the team owns deployment, orchestration, scaling, and reliability for production inference workloads.

About the Role

The SambaStack team is seeking an Engineering Director to lead a software engineering team while remaining a hands-on technical contributor. You'll own the growth and effectiveness of your team, the technical quality of their output, and the roadmap for the inference serving platform. You'll continue to design systems and write code on the platform's hardest problems.

 
Responsibilities

People & Team Leadership

  • Lead, grow, and inspire a software team, fostering a culture of technical excellence, collaboration, and continuous improvement
  • Own hiring for your team: define roles, assess candidates, and build a diverse, high-performing engineering organization
  • Drive the career development of your engineers through regular 1:1s, meaningful feedback, and clear growth plans
  • Set clear goals and expectations, track team progress, and remove blockers to keep the team executing effectively
  • Partner with Product, ML, QA, and DevOps leadership to align team priorities with broader organizational objectives

Technical Contribution

  • Contribute directly as a software engineer: designing systems, writing code, and leading implementation on critical platform initiatives
  • Participate in and lead design reviews, providing authoritative technical guidance on major features and cross-cutting changes
  • Establish and uphold engineering standards, best practices, and coding quality across the team
  • Proactively identify and drive the resolution of systemic risks: performance bottlenecks, reliability gaps, and scaling constraints
  • Stay current on emerging technologies and AI inference trends to inform the team's technical direction
Required Qualifications
  • 12+ years of software engineering experience, including 2+ years leading and managing engineering teams
  • Demonstrated ability to manage, develop, and hire strong engineers while remaining a hands-on technical contributor
  • Strong technical depth in backend systems built with Python, Go, or Rust
  • Experience with AI inference serving, orchestration, and the infrastructure challenges of LLM workloads at production scale
  • Proven ability to drive engineering excellence across an engineering team
  • Excellent communication skills: able to work effectively with engineers, cross-functional partners, and senior leadership
  • Experience running iterative engineering processes in a fast-paced environment
Preferred Qualifications
  • Experience with Kubernetes ecosystem tooling, including Operators and Helm Charts
  • Background in ML application optimization and productionization
  • Experience building or managing teams that deliver cloud-native platforms for enterprise customers
  • Familiarity with AI coding assistants and the developer tooling ecosystem
  • Experience at a high-growth AI infrastructure company

Base Salary Range:

Base Pay Range
$245,000$325,000 USD

Submission Guidelines
Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified. 

EEO Policy
SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws.

Benefits Summary for US-Based, Full-Time Employment Positions
SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.

Skills Required

  • 12+ years of software engineering experience
  • 2+ years leading and managing engineering teams
  • Strong technical depth in backend systems built with Python, Go, or Rust
  • Solid understanding of Kubernetes and distributed systems
  • Proven ability to drive engineering excellence
  • Excellent communication skills
  • Experience running iterative engineering processes
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The Company
HQ: Palo Alto, CA
500 Employees
Year Founded: 2017

What We Do

AI is changing the world and at SambaNova, we believe that you don’t need unlimited resources to take advantage of the most advanced, valuable AI capabilities - capabilities that are helping organizations explore the universe, find cures for cancer, and giving companies access to insights that provide a competitive edge. We deliver the world’s fastest and only complete AI solution for enterprises and governments with world-record inference performance and accuracy. Powered by the SambaNova SN40L Reconfigurable Dataflow Unit (RDU), organizations can build a technology backbone for the next decade of AI innovation with SambaNova Suite. Our fully integrated hardware-software system, DataScale®, enables organizations to train, fine-tune, and deploy the most demanding AI workloads using the largest and most challenging models. Most recently, with the launch of our newest offering, SambaNova Cloud, developers can supercharge AI-powered applications on Llama 3.2 models. SambaNova was founded in 2017 in Palo Alto, California, by a group of industry luminaries, business leaders, and world-class innovators who understand AI. Today, we’ve built an incredibly smart and motivated team dedicated to making a lasting impact on the industry and equipping our customers to thrive in the new era of AI.

Why Work With Us

As a talent first company, we aim to hire the greatest and most innovative minds in the industry- driving the next generation of AI computing where no barrier is too high and the possibilities are truly limitless. We encourage our peers to take risks and take the initiative to make a lasting impact on the AI and ML industries.

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