Jobs at SambaNova Systems

Leads company-wide IT infrastructure, end-user technology, security operations, and DevOps support. Responsibilities include managing on-premises and cloud systems, networks, storage, identity, laptops, SaaS tools, help desk operations, onboarding, access controls, monitoring, incident response, CI/CD tooling, automation, vendors, budgets, and team growth. The role combines strategic leadership with hands-on systems configuration, troubleshooting, and automation.

Architects and designs custom transistor-level clock distribution networks for advanced AI accelerator chips. Performs signal integrity, power integrity, jitter, skew, EM/IR, and reliability analyses; develops low-power solutions; and integrates IO, ESD, Latch-Up, and protection structures. Collaborates with physical design and IP teams on layout, routing, shielding, CTS, and sign-off. Requires advanced-node analog/mixed-signal VLSI expertise and supports pre-silicon verification, tape-out, and post-silicon bring-up.

Leads business operations and new product introduction for SambaNova’s silicon and systems partner ecosystem. Builds repeatable NPI frameworks covering architecture, validation, manufacturing, customer acceptance, volume shipments, and lifecycle support. Coordinates concurrent OEM and partner engagements across engineering, supply chain, quality, sales, finance, legal, and support. Establishes project gates, metrics, executive reporting, commercial processes, supply commitments, partner enablement, technical support models, and go-to-market motions.

Develop and execute chip-level verification plans for SambaNova’s RDU AI processor. Build SystemVerilog and UVM testbenches, sequences, checkers, assertions, and coverage. Create directed and constrained-random tests, run regressions, debug simulation failures with RTL designers, and analyze coverage gaps before tape-out.

Train and evaluate machine learning models that improve large language model inference efficiency and capability. Responsibilities include speculative decoding, quantization, sparsity, distillation, pruning, parameter-efficient fine-tuning, agentic systems, benchmarking, research implementation, and reinforcement learning or post-training. The role collaborates with performance, compiler, runtime, and product teams to ship model improvements.

Run and improve RTL-to-GDS physical design flows on advanced process nodes. Perform synthesis and place-and-route using Cadence tools, automate workflows with Tcl and Python, debug timing, congestion, and design-rule issues, support tool-vendor bug resolution, and maintain documentation and regression testing.

Coordinates government-funded R&D programs and strategic projects, managing grant administration, reporting schedules, documentation, compliance, stakeholder communications, meetings, financial support, contracts, and audit readiness. The role works across technical teams, management, headquarters, research partners, customers, funding agencies, Finance, Legal, and Procurement. It also supports bilingual Japanese-English documentation, project governance, process improvement, and lifecycle execution from setup through closeout.

Lead complex AI/ML infrastructure evaluation projects for a strategic partner. Own planning, timelines, deliverables, technical benchmarks, customer communication, and cross-functional coordination across engineering, product, and go-to-market teams. Translate customer requirements into engineering actions, guide technical scope and success criteria, explain platform capabilities, and use project outcomes to influence product strategy and future sales. The role requires strong AI/ML systems expertise, customer-facing communication, and the ability to lead distributed teams without direct authority.

Develop and optimize compiler infrastructure for SambaNova’s RDU AI accelerator. Responsibilities include implementing IR passes, lowering and partitioning machine learning models, tensor tiling, on-chip memory management, fabric mapping, and low-level debugging in C++ and Python. The role collaborates with runtime and hardware teams and includes mentorship while building production compiler software.

Build and operate the machine learning inference stack for SambaNova’s RDU accelerators. Develop production Python features including speculative and constrained decoding, tool calling, prompt caching, long-context inference, and vLLM integration. Maintain public inference APIs, create accuracy and regression tests, and troubleshoot latency, throughput, and reliability issues. The role requires strong systems and programming fundamentals, experience with LLM serving frameworks and inference techniques, and PyTorch knowledge.

Build and maintain cloud and on-premises infrastructure supporting SambaNova’s AI inference platform. Responsibilities include managing Kubernetes clusters, Terraform and Ansible automation, monitoring and dashboards, CI/CD pipelines, regional infrastructure deployment, capacity support, and incident response. The role also participates in an on-call rotation and requires programming or scripting, cloud, networking, Linux, containerization, infrastructure-as-code, and monitoring experience.

Develop runtime software across kernel drivers, user-space libraries, networking, and system tools for SambaNova AI hardware. Build and test features on large multi-node systems, diagnose performance bottlenecks, and collaborate with hardware and compiler teams. The role requires C, C++, Rust, Python, Linux systems programming, high-speed networking, distributed communication libraries, and debugging experience.

Leads SambaNova’s corporate marketing function, owning brand strategy, creative services, website and digital presence, content, SEO/AEO, and major industry events. Partners with the CMO and cross-functional teams to develop a unified company narrative, execute integrated campaigns, manage agencies, and measure marketing investments. Builds and scales the corporate marketing team while representing the company externally and strengthening credibility in the technical AI infrastructure market.

Architect, build, and operate SambaNova’s internal developer platform and production Kubernetes infrastructure across AWS, GCP, Azure, and on-premises environments. Responsibilities include Terraform-based provisioning, highly available Kubernetes clusters, hybrid networking, security, observability, capacity planning, incident response, and internal tooling. The role partners with AI and software engineering teams to establish production workflows and participates in on-call support.

Owns reliability, scalability, performance, and efficiency of SambaNova’s production AI inference platform. Responsibilities include monitoring, alerting, capacity planning, autoscaling, incident response, post-mortems, infrastructure as code, and CI/CD across cloud and on-premises environments. The role supports global regions, deploys model and service updates, resolves performance bottlenecks, and participates in a 24/7 on-call rotation.

Architects end-to-end inference performance for distributed AI systems. Leads workload capture, realistic and agentic benchmarking, performance modeling, simulation, profiling, capacity planning, and optimization against customer SLOs. Shapes heterogeneous GPU/RDU inference architectures, resolves ambiguous cross-functional challenges, influences hardware and product roadmaps, represents performance capabilities to customers, and mentors senior and principal engineers.

Lead development and optimization of the compiler stack for ML systems, collaborate across teams, integrate and deploy products, map ML operations to hardware, and drive compiler infrastructure innovation and performance debugging.

Brings up and optimizes foundation models on SambaNova’s AI platform. Profiles performance across compiler, runtime, and hardware layers; identifies bottlenecks; applies quantization, kernel fusion, scheduling, and memory optimizations; benchmarks inference throughput and latency; and collaborates with machine learning, compiler, runtime, and hardware teams to deliver product improvements.

Own SambaNova’s AI model and capability roadmap from prioritization through launch. Evaluate LLMs hands-on, define feature-completeness and quality standards, manage capability gaps, and coordinate engineering, QA, Marketing, Documentation, GTM, and Solutions teams. Track model intelligence, customer needs, competitive positioning, and platform performance while maintaining roadmap dashboards and prioritization processes. Build prototypes and experiments to demonstrate inference advantages and inform strategic product decisions.

Own full-lifecycle recruiting for go-to-market and product roles across Sales, Marketing, Customer Success, and Product. Partner with hiring managers to define roles, build sourcing strategies, calibrate pipelines, design interviews, manage feedback, and close passive talent. Maintain accurate recruiting data and metrics in Greenhouse while influencing senior leaders and using AI to improve recruiting workflows. This is a six-month contract with potential extension or conversion.