Databricks Visa Sponsorship Jobs USA
Databricks is one of the most active visa sponsors in the data and AI industry, with a strong track record across H-1B visa and Green Card pathways. For international engineers, data scientists, and technical professionals, it's a well-established option with consistent sponsorship across engineering and research roles.
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As a software engineer for GenAI inference, you will help design, develop, and optimize the inference engine that powers Databricks’ Foundation Model API. You’ll work at the intersection of research and production, ensuring our large language model (LLM) serving systems are fast, scalable, and efficient. Your work will touch the full GenAI inference stack — from kernels and runtimes to orchestration and memory management.
What You Will Do
- Contribute to the design and implementation of the inference engine, and collaborate on model-serving stack optimized for large-scale LLMs inference
- Collaborate with researchers to bring new model architectures or features (sparsity, activation compression, mixture-of-experts) into the engine
- Optimize for latency, throughput, memory efficiency, and hardware utilization across GPUs, and accelerators
- Build and maintain instrumentation, profiling, and tracing tooling to uncover bottlenecks and guide optimizations
- Develop and enhance scalable routing, batching, scheduling, memory management, and dynamic loading mechanisms for inference workloads
- Support reliability, reproducibility, and fault tolerance in the inference pipelines, including A/B launches, rollback, and model versioning
- Integrate with federated, distributed inference infrastructure – orchestrate across nodes, balance load, handle communication overhead
- Collaborate cross-functionally: with platform engineers, cloud infrastructure, and security/compliance teams
- Document and share learnings, contributing to internal best practices and open-source efforts when possible
What We Look For
- BS/MS/PhD in Computer Science, or a related field
- Strong software engineering background (3+ years or equivalent) in performance-critical systems
- Solid understanding of ML inference internals: attention, MLPs, recurrent modules, quantization, sparse operations, etc.
- Hands-on experience with CUDA, GPU programming, and key libraries (cuBLAS, cuDNN, NCCL, etc.)
- Comfortable designing and operating distributed systems, including RPC frameworks, queuing, RPC batching, sharding, memory partitioning
- Demonstrated ability to uncover and solve performance bottlenecks across layers (kernel, memory, networking, scheduler)
- Experience building instrumentation, tracing, and profiling tools for ML models
- Ability to work closely with ML researchers, translate novel model ideas into production systems
- Ownership mindset and eagerness to dive deep into complex system challenges
- Bonus: published research or open-source contributions in ML systems, inference optimization, or model serving
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.
- Local Pay Range: $142,200—$204,600 USD
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
About This Role
As a software engineer for GenAI inference, you will help design, develop, and optimize the inference engine that powers Databricks’ Foundation Model API. You’ll work at the intersection of research and production, ensuring our large language model (LLM) serving systems are fast, scalable, and efficient. Your work will touch the full GenAI inference stack — from kernels and runtimes to orchestration and memory management.
What You Will Do
- Contribute to the design and implementation of the inference engine, and collaborate on model-serving stack optimized for large-scale LLMs inference
- Collaborate with researchers to bring new model architectures or features (sparsity, activation compression, mixture-of-experts) into the engine
- Optimize for latency, throughput, memory efficiency, and hardware utilization across GPUs, and accelerators
- Build and maintain instrumentation, profiling, and tracing tooling to uncover bottlenecks and guide optimizations
- Develop and enhance scalable routing, batching, scheduling, memory management, and dynamic loading mechanisms for inference workloads
- Support reliability, reproducibility, and fault tolerance in the inference pipelines, including A/B launches, rollback, and model versioning
- Integrate with federated, distributed inference infrastructure – orchestrate across nodes, balance load, handle communication overhead
- Collaborate cross-functionally: with platform engineers, cloud infrastructure, and security/compliance teams
- Document and share learnings, contributing to internal best practices and open-source efforts when possible
What We Look For
- BS/MS/PhD in Computer Science, or a related field
- Strong software engineering background (3+ years or equivalent) in performance-critical systems
- Solid understanding of ML inference internals: attention, MLPs, recurrent modules, quantization, sparse operations, etc.
- Hands-on experience with CUDA, GPU programming, and key libraries (cuBLAS, cuDNN, NCCL, etc.)
- Comfortable designing and operating distributed systems, including RPC frameworks, queuing, RPC batching, sharding, memory partitioning
- Demonstrated ability to uncover and solve performance bottlenecks across layers (kernel, memory, networking, scheduler)
- Experience building instrumentation, tracing, and profiling tools for ML models
- Ability to work closely with ML researchers, translate novel model ideas into production systems
- Ownership mindset and eagerness to dive deep into complex system challenges
- Bonus: published research or open-source contributions in ML systems, inference optimization, or model serving
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.
- Local Pay Range: $142,200—$204,600 USD
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
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Get Access To All JobsTips for Finding Databricks Visa Sponsorship Jobs USA
Target engineering and data science roles first
Databricks sponsors most heavily for technical positions in software engineering, machine learning, and data infrastructure. If your background aligns with its core AI and data lakehouse platform, you're applying in the highest-volume sponsorship categories the company supports.
Understand the H-1B and Green Card pipeline
Databricks sponsors both H-1B visas and employment-based Green Cards, meaning strong performers often move from temporary to permanent sponsorship. Knowing this pathway exists before you apply helps you frame long-term career conversations during interviews.
F-1 OPT holders have a clear entry point
Databricks actively sponsors F-1 OPT, making it a viable option for recent graduates before H-1B cap season. If you're finishing a CS, data science, or related degree, timing your application around OPT authorization can smooth the transition into sponsored employment.
TN visa holders should highlight cross-border technical expertise
Databricks sponsors TN visas for eligible Canadian and Mexican professionals. If you qualify under a TN category like engineer or systems analyst, emphasizing your technical depth in distributed systems or cloud infrastructure aligns with the company's core hiring focus.
Use Migrate Mate to confirm sponsorship history before applying
Databricks has a strong sponsorship track record, but verifying that before you apply saves time. Migrate Mate surfaces verified sponsors so you can filter by real sponsorship history and find current Databricks openings that match your visa type.
Apply well ahead of the H-1B registration window
H-1B registration opens in March each year. At an active sponsor like Databricks, offers for cap-subject candidates are typically extended months earlier. Starting your job search in the fall gives you the best chance of securing an offer with enough lead time.
Frequently Asked Questions
Does Databricks sponsor H-1B visas?
Yes, Databricks sponsors H-1B visas and is one of the more active sponsors in the data and AI technology sector. Sponsorship is concentrated in technical roles across software engineering, machine learning, and data platform development. The company also has a track record of supporting employees through the Green Card process after initial H-1B approval.
Which visa types does Databricks sponsor?
Databricks sponsors H-1B visas, employment-based Green Cards under EB-2 and EB-3 categories, F-1 OPT for recent graduates, and TN visas for eligible Canadian and Mexican nationals. The company does not currently appear to sponsor E-3 visas. Coverage spans multiple immigration pathways, which makes it a strong option for international candidates at different career stages.
Which roles at Databricks are most likely to receive visa sponsorship?
Sponsorship at Databricks is heavily concentrated in technical functions. Software engineers, machine learning engineers, data scientists, site reliability engineers, and research scientists represent the highest-volume sponsored roles. Product management and solutions engineering positions also see sponsorship, though less frequently. Roles in sales, marketing, and general administration are less commonly sponsored.
How do I find visa-sponsored jobs at Databricks?
Migrate Mate is the most efficient way to find current Databricks openings that come with confirmed visa sponsorship history. Rather than manually screening job listings or cold-applying and hoping sponsorship is available, you can filter directly for Databricks roles and see their sponsorship track record before you apply. This is particularly useful if you're working within a tight timeline on OPT or an H-1B registration window.
How do I time my application to Databricks around H-1B sponsorship?
H-1B cap registration runs in March, and USCIS requires employers to file petitions before October 1 for the new cap year. At a company like Databricks, offers for cap-subject candidates are typically extended several months before registration opens. Applying in the fall for a role starting the following fiscal year gives you the best chance of being included in the company's H-1B registration cycle.