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Sambanova Jobs (NOW HIRING)

SambaNova

ML Features Solutions Engineer

San Jose, CA · On-site

$96K - $128K/yr

SambaNova is a company focused on generative AI solutions, and they are seeking an ML Features Solutions Engineer to drive the development and optimization of core ML features for enterprise ...

SambaNova Systems

Forward Deployment Engineer

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 ...

SambaNova Systems

Network Architect

Austin, TX · On-site +1

$250K - $350K/yr

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 ...

SambaNova Systems

Runtime Engineer

San Jose, CA · On-site

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 ...

SambaNova

ML Features Solutions Engineer

Austin, TX · On-site

$81K - $109K/yr

SambaNova is a leading company in the generative AI space, offering a full-stack platform optimized for enterprise use. The ML Features Solutions Engineer will focus on developing and optimizing core ...

SambaNova Systems

Customer Success Manager

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 ...

SambaNova Systems

Supply Chain Specialist

San Jose, CA · On-site

$110K - $150K/yr

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 ...

SambaNova Systems

Software Architect

San Jose, CA · On-site

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 ...

SambaNova Systems

Runtime Engineer

San Jose, CA

The Opportunity The Runtime team at Sambanova is a seasoned engineering team with a proven track record of delivering cutting-edge system software solutions for AI and machine learning applications ...

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How much do sambanova jobs pay per hour?

As of Aug 1, 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 does the company SambaNova do?

SambaNova is a technology company that develops advanced hardware and software solutions for artificial intelligence and machine learning workloads. Its products include AI hardware accelerators and software platforms designed to optimize AI training and inference tasks in data centers. Employees working there often need knowledge of AI, deep learning, and related programming skills.

How much does SambaNova software engineer make?

SambaNova software engineers typically earn an average salary ranging from $120,000 to $180,000 annually, depending on experience, location, and specific role. Compensation may also include bonuses, stock options, and benefits, especially in competitive tech environments requiring expertise in AI and machine learning tools.

Which 3 jobs will survive AI?

For a role like a data scientist or AI specialist, jobs that require complex problem-solving, creativity, and emotional intelligence are more likely to persist despite AI advancements. Healthcare professionals, such as nurses and doctors, will continue to be essential due to the need for human judgment and empathy. Additionally, skilled trades like electricians and plumbers are less susceptible to automation because of the hands-on nature of their work.

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 is the interview process for SambaNova?

The interview process for a role at SambaNova typically involves multiple stages, including an initial phone or video screening, technical assessments or coding interviews, and in-person or virtual interviews with team members. Candidates may also be evaluated on their problem-solving skills, technical knowledge, and cultural fit, often involving discussions of relevant tools or projects.

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.

More about Sambanova jobs
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Sambanova jobs near you
Infographic showing various Sambanova job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 73% Physical, 3% Hybrid, and 24% Remote job distribution, with an average salary of $54,791 per year, or $26.3 per hour.

ML Features Solutions Engineer

SambaNova

San Jose, CA • On-site

$96K - $128K/yr

Full-time

Re-posted 5 days ago

Job description

Job Summary:
SambaNova is a company focused on generative AI solutions, and they are seeking an ML Features Solutions Engineer to drive the development and optimization of core ML features for enterprise deployment. This role combines deep ML expertise with hands-on engineering to deliver production-grade capabilities to customers.
Responsibilities:
• Design and implement core ML features including model optimization, quantization, and inference enhancements
• Optimize model performance for latency, throughput, and memory efficiency on SambaNova hardware
• Develop and improve features such as Function Calling, Structured Output, and JSON mode conformance
• Create end-to-end ML solutions that showcase platform capabilities and accelerate customer adoption
• Convert cutting-edge ML research into practical, deployable product features
• Establish benchmarks and quality standards for ML features in production environments
• Work with SDK team to ensure ML features are properly exposed and documented for developers
• Support enterprise customers implementing advanced ML features in their workflows
• Partner with ML research, platform engineering, and customer teams
Qualifications:
Required:
• Master’s degree or higher in Computer Science, Machine Learning, Electrical Engineering, or related field
• 5+ years of industry experience in ML engineering or applied ML research
• 3+ years of hands-on experience with large language models and transformer architectures
• Expert proficiency in Python and deep learning frameworks: PyTorch (required), TensorFlow, or JAX
• Experience with model optimization techniques: quantization, pruning, distillation, efficient inference
• Strong understanding of LLM inference optimization: KV cache, batching strategies, memory management
• Experience deploying ML models to production at scale
• Track record of translating research concepts into production features
Preferred:
• PhD in Machine Learning, NLP, or related field
• Experience with custom hardware acceleration (TPUs, custom ASICs)
• Hands-on experience with inference frameworks: vLLM, TensorRT-LLM, or similar
• Experience with function calling and tool use in LLMs
• Knowledge of structured generation and constrained decoding
• Experience with ML feature development in enterprise contexts
• Contributions to open-source ML projects
Company:
SambaNova is a complete AI platform that delivers AI inference and scalable solutions, providing a seamless integration for agentic AI. 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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