Software Engineering Director - Inference Platform
SambaNova · On-site
MeritLog read this listing from SambaNova's Greenhouse job board and last checked it on September 13, 2026.
Source: the employer's Greenhouse job board. Open the original listing for current details.
Job details
- Work model
- On-site
- Salary
- Conflicting source ranges
- Location
- San Jose, California, United States
Hiring context
How this role compares at SambaNova
SambaNova has 55 live roles in MeritLog’s catalog across 9 job families, and 30 of them are in engineering. 0 of those listings publish a pay range, a disclosure rate of 0%.
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What the role asks for
What you'd do
- 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
- 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
What they're asking for
- 12+ years of software engineering experience, including 2+ years leading and managing engineering teamsExperience
- Demonstrated ability to manage, develop, and hire strong engineers while remaining a hands-on technical contributorSkill
- Strong technical depth in backend systems built with Python, Go, or RustSkill
- Experience with AI inference serving, orchestration, and the infrastructure challenges of LLM workloads at production scaleSkill
- Proven ability to drive engineering excellence across an engineering teamSkill
- Excellent communication skills: able to work effectively with engineers, cross-functional partners, and senior leadershipSkill
- Experience running iterative engineering processes in a fast-paced environmentSkill
- Experience with Kubernetes ecosystem tooling, including Operators and Helm ChartsSkillPreferred
- Background in ML application optimization and productionizationSkillPreferred
- Experience building or managing teams that deliver cloud-native platforms for enterprise customersSkillPreferred
- Familiarity with AI coding assistants and the developer tooling ecosystemSkillPreferred
- Experience at a high-growth AI infrastructure companySkillPreferred
Parsed by MeritLog from the employer’s own posting. The full description follows below.
Job description
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.
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