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Sambanova Jobs (NOW HIRING)

SambaNova

Software Architect

SambaNova is building the future of AI computing, disrupting the AI and high-performance computing space with an integrated hardware and software platform. The Software Architect will define the ...

New

SambaNova Systems

Supply Chain Specialist

San Jose, CA · On-site

Oversee the formal "disposition" of Sambanova managed non-conforming materials. Supply Demand Material Tracking * Work directly with Contract Manufacturing (CM) partners through weekly material ...

New

SambaNova

Senior Cloud Platform Engineer

SambaNova is at the forefront of AI computing, building a transformative generative AI platform for enterprise and government organizations. The Senior Cloud Platform Engineer will focus on the ...

SambaNova

Cloud Site Reliability Engineer

Palo Alto, CA · On-site

$67 - $89.25/hr

SambaNova is a company focused on building the future of AI computing, disrupting the AI and high-performance computing space with their integrated hardware and software platform. The Cloud Site ...

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How much do sambanova jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for sambanova in the United States is $26.34, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $30.77 per hour, depending on experience, location, and employer.

What is Sambanova and what do they do?

SambaNova Systems is a technology company that specializes in developing advanced artificial intelligence (AI) hardware and software solutions. Their primary focus is on providing high-performance computing platforms, including AI chips and systems, to help organizations accelerate AI workloads such as machine learning and deep learning. SambaNova's products are used in various industries, including research, finance, and healthcare, to power complex AI models and improve efficiency. The company is known for its innovative approach to AI infrastructure, enabling faster and more flexible deployment of AI applications.

What opportunities for professional growth are available for engineers working at SambaNova Systems?

Engineers at SambaNova Systems often have the chance to work on cutting-edge AI hardware and software projects alongside industry experts, which accelerates professional development. The company encourages continuous learning through internal knowledge-sharing sessions, access to advanced technical resources, and support for attending industry conferences. Additionally, the fast-paced, collaborative environment allows engineers to take ownership of impactful projects, fostering skill expansion in both technical and leadership areas. Career advancement is supported through mentorship and opportunities to move into specialized or managerial roles as the company grows.

What are the key skills and qualifications needed to thrive as a SambaNova Systems Engineer, and why are they important?

To excel as a SambaNova Systems Engineer, you need a strong background in computer science, machine learning, and hardware/software integration, typically supported by a relevant degree. Familiarity with AI/ML frameworks, dataflow architectures, and programming languages like Python or C++, as well as experience with SambaNova’s DataScale platform, are essential. Strong problem-solving, collaboration, and communication skills help in navigating complex projects and working effectively with cross-functional teams. These competencies enable engineers to deliver cutting-edge AI solutions and maximize the performance of advanced hardware systems.

What is the difference between Sambanova vs Data Scientist?

AspectSambanovaData Scientist
Required CredentialsTypically requires a background in computer science, machine learning, or AI, often with a master's or PhDRequires a degree in computer science, statistics, or related fields; often with advanced degrees
Work EnvironmentWorks in AI hardware and software development, often in tech companies or research labsWorks in data analysis, modeling, and insights generation across various industries
Employer & Industry UsageUsed by tech companies developing AI hardware/software solutionsEmployed across finance, healthcare, tech, and consulting industries

While Sambanova focuses on AI hardware and software development, Data Scientists analyze data to inform business decisions. Both roles require strong technical skills and advanced education, but they serve different functions within the tech ecosystem.

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Sambanova jobs near you
Infographic showing various Sambanova job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $54,791 per year, or $26.3 per hour.

Software Architect

SambaNova

Remote

Full-time

Posted 2 days ago

Job description

Job Summary:
SambaNova is building the future of AI computing, disrupting the AI and high-performance computing space with an integrated hardware and software platform. The Software Architect will define the technical direction of the SambaStack platform, owning architectural decisions and ensuring the platform meets enterprise-grade standards for scalability, reliability, and performance.
Responsibilities:
• Own the end-to-end technical architecture of the SambaStack inference platform, ensuring it meets enterprise-grade standards for scalability, reliability, and performance.
• Define and drive architectural strategy across engineering teams, aligning long-term platform direction with product and business objectives.
• Lead design reviews for major new capabilities and cross-cutting system changes, providing authoritative technical guidance and raising the quality bar across the SambaStack engineering organization.
• Proactively identify and resolve systemic risks, including performance bottlenecks, reliability gaps, and scaling constraints, before they impact customers.
• Establish and evolve architectural standards, patterns, and best practices across the SambaStack engineering organization.
• Partner with ML Engineers, Product Managers, QA, and DevOps to translate complex, ambiguous requirements into sound architectural decisions.
• Serve as a technical thought leader and mentor, growing the architectural thinking and design skills of Software Engineers across the team.
• Evaluate emerging technologies and industry trends to inform the platform's technical roadmap.
• Architect new systems, components, and capabilities to solve new and interesting problems in the AI inference space.
Qualifications:
Required:
• 12+ years of software engineering experience, including significant time in a role with organization-wide technical influence.
• Proven track record of owning large-scale distributed systems architectures end-to-end from design to production.
• Expertise building backend systems in Python, Go, or Rust.
• Expert-level understanding of Kubernetes, including Operators, Helm Charts, and cluster-scale resource management.
• Strong command of distributed systems principles: consistency, fault tolerance, observability, and performance at scale.
• Demonstrated experience setting technical direction across multiple teams and driving cross-functional alignment.
• Excellent written and verbal communication skills: Able to clearly articulate complex architectural decisions to both engineering and non-technical audiences.
• Track record of mentoring more junior engineers and elevating team-wide engineering quality.
Preferred:
• Deep familiarity with AI inference serving, orchestration, and the infrastructure challenges of LLM workloads at production scale.
• Experience designing systems for custom or novel hardware accelerators (e.g., dataflow architectures, GPUs, TPUs).
• Background in ML application optimization and productionization.
• Experience building cloud-native platforms for enterprise customers with stringent SLA and compliance requirements.
• Familiarity with AI coding assistants and the developer tooling ecosystem.
• Experience at a high-growth AI infrastructure company.
Company:
SambaNova is an AI hardware and software company that specializes in providing infrastructure for AI and machine learning applications. Founded in 2017, the company is headquartered in Palo Alto, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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