AI use among architectural and engineering managers is little observed so far. Measured exposure for architectural and engineering managers: 3% (little observed).

Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

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About the job

SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform for customers worldwide. At the core of SambaNova's technology is the RDU (Reconfigurable Dataflow Unit) — a chip built on a dataflow architecture rather than the traditional GPU model. Its decode performance is especially strong for agentic workloads like multi-turn agents, code generation, and long-running applications. RDUs are packaged into SambaRack, rack-scale hardware that lets customers deploy state-of-the-art models with better performance, greater energy efficiency, and faster time to value.

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.