Fireworks AI E-3 Visa Sponsorship Jobs USA
Fireworks sponsors E-3 visas for Australian professionals in technology and software roles, including positions in machine learning, software engineering, and AI infrastructure. The company operates in a specialized technical space where degree-matched specialty occupation roles are common, making it a viable E-3 sponsor for qualified candidates.
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Get Access To All JobsAbout us: At Fireworks, we鈥檙e building the future of generative AI infrastructure. Our platform delivers the highest-quality models with the fastest and most scalable inference in the industry. We鈥檝e been independently benchmarked as the leader in LLM inference speed and are driving cutting-edge innovation through projects like our own function calling and multimodal models. Fireworks is a Series C company valued at $4 billion and backed by top investors including Benchmark, Sequoia, Lightspeed, Index, and Evantic. We鈥檙e an ambitious, collaborative team of builders, founded by veterans of Meta PyTorch and Google Vertex AI.
The Role: As a Software Engineer on our Cloud Infrastructure team, you'll be at the forefront, architecting and building the foundational systems that power Fireworks AI's revolutionary generative AI platform. You'll spearhead the creation of one of the world's first virtual clouds, seamlessly serving AI workloads across the globe and every cloud provider. Your mission: to deliver unparalleled reliability, efficiency, and scalability, fueling the world's most innovative AI products. This is a highly technical role requiring deep expertise in distributed systems, cloud-native infrastructure, and machine learning platforms. You鈥檒l partner closely with engineering partners, product teams, and infrastructure stakeholders to design solutions that balance performance, cost-efficiency, and operational simplicity across compute, storage, and networking layers.
Key Responsibilities:
- Architect and build scalable, resilient, and high-performance backend infrastructure to support distributed training, inference, and data processing pipelines.
- Lead technical design discussions, mentor other engineers, and establish best practices for building and operating large-scale ML infrastructure.
- Design and implement core backend services (e.g., job schedulers, resource managers, autoscalers, model serving layers) with a focus on efficiency and low latency.
- Drive infrastructure optimization initiatives, including compute cost reduction, storage lifecycle management, and network performance tuning.
- Collaborate cross-functionally with ML, DevOps, and product teams to translate research and product needs into robust infrastructure solutions.
- Continuously evaluate and integrate cloud-native and open-source technologies (e.g., Kubernetes, Ray, Kubeflow, MLFlow) to enhance our platform鈥檚 capabilities and reliability.
- Own end-to-end systems from design to deployment and observability, with a strong emphasis on reliability, fault tolerance, and operational excellence.
Minimum qualifications:
- Bachelor鈥檚 degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).
- 5+ years of experience designing and building backend infrastructure in cloud environments (e.g., AWS, GCP, Azure).
- Proven experience in ML infrastructure and tooling (e.g., PyTorch, TensorFlow, Vertex AI, SageMaker, Kubernetes, etc.).
- Strong software development skills in languages like Python, or C++.
- Deep understanding of distributed systems fundamentals: scheduling, orchestration, storage, networking, and compute optimization.
Preferred qualifications:
- Master鈥檚 or PhD in Computer Science or related field.
- Experience leading infrastructure projects supporting large-scale ML/AI workloads or high-throughput systems.
- Familiarity with infrastructure-as-code and CI/CD tooling (e.g., Terraform, ArgoCD, GitOps).
- Track record of driving system performance, reliability, and cost-efficiency improvements.
- Contributions to open-source cloud or ML infrastructure projects a plus.
Total compensation for this role also includes meaningful equity in a fast-growing startup, along with a competitive salary and comprehensive benefits package. Base salary is determined by a range of factors including individual qualifications, experience, skills, interview performance, market data, and work location. The listed salary range is intended as a guideline and may be adjusted. Base Pay Range (Plus Equity): $175,000 USD - $220,000 USD
Why Fireworks AI?
- Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
- Build What鈥檚 Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
- Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI鈥攏o bureaucracy, just results.
- Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
About us: At Fireworks, we鈥檙e building the future of generative AI infrastructure. Our platform delivers the highest-quality models with the fastest and most scalable inference in the industry. We鈥檝e been independently benchmarked as the leader in LLM inference speed and are driving cutting-edge innovation through projects like our own function calling and multimodal models. Fireworks is a Series C company valued at $4 billion and backed by top investors including Benchmark, Sequoia, Lightspeed, Index, and Evantic. We鈥檙e an ambitious, collaborative team of builders, founded by veterans of Meta PyTorch and Google Vertex AI.
The Role: As a Software Engineer on our Cloud Infrastructure team, you'll be at the forefront, architecting and building the foundational systems that power Fireworks AI's revolutionary generative AI platform. You'll spearhead the creation of one of the world's first virtual clouds, seamlessly serving AI workloads across the globe and every cloud provider. Your mission: to deliver unparalleled reliability, efficiency, and scalability, fueling the world's most innovative AI products. This is a highly technical role requiring deep expertise in distributed systems, cloud-native infrastructure, and machine learning platforms. You鈥檒l partner closely with engineering partners, product teams, and infrastructure stakeholders to design solutions that balance performance, cost-efficiency, and operational simplicity across compute, storage, and networking layers.
Key Responsibilities:
- Architect and build scalable, resilient, and high-performance backend infrastructure to support distributed training, inference, and data processing pipelines.
- Lead technical design discussions, mentor other engineers, and establish best practices for building and operating large-scale ML infrastructure.
- Design and implement core backend services (e.g., job schedulers, resource managers, autoscalers, model serving layers) with a focus on efficiency and low latency.
- Drive infrastructure optimization initiatives, including compute cost reduction, storage lifecycle management, and network performance tuning.
- Collaborate cross-functionally with ML, DevOps, and product teams to translate research and product needs into robust infrastructure solutions.
- Continuously evaluate and integrate cloud-native and open-source technologies (e.g., Kubernetes, Ray, Kubeflow, MLFlow) to enhance our platform鈥檚 capabilities and reliability.
- Own end-to-end systems from design to deployment and observability, with a strong emphasis on reliability, fault tolerance, and operational excellence.
Minimum qualifications:
- Bachelor鈥檚 degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).
- 5+ years of experience designing and building backend infrastructure in cloud environments (e.g., AWS, GCP, Azure).
- Proven experience in ML infrastructure and tooling (e.g., PyTorch, TensorFlow, Vertex AI, SageMaker, Kubernetes, etc.).
- Strong software development skills in languages like Python, or C++.
- Deep understanding of distributed systems fundamentals: scheduling, orchestration, storage, networking, and compute optimization.
Preferred qualifications:
- Master鈥檚 or PhD in Computer Science or related field.
- Experience leading infrastructure projects supporting large-scale ML/AI workloads or high-throughput systems.
- Familiarity with infrastructure-as-code and CI/CD tooling (e.g., Terraform, ArgoCD, GitOps).
- Track record of driving system performance, reliability, and cost-efficiency improvements.
- Contributions to open-source cloud or ML infrastructure projects a plus.
Total compensation for this role also includes meaningful equity in a fast-growing startup, along with a competitive salary and comprehensive benefits package. Base salary is determined by a range of factors including individual qualifications, experience, skills, interview performance, market data, and work location. The listed salary range is intended as a guideline and may be adjusted. Base Pay Range (Plus Equity): $175,000 USD - $220,000 USD
Why Fireworks AI?
- Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
- Build What鈥檚 Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
- Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI鈥攏o bureaucracy, just results.
- Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
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Get Access To All JobsTips for Finding Fireworks AI E-3 Visa Sponsorship Jobs USA
Match your degree to the role
E-3 requires a direct relationship between your degree field and the job. At Fireworks, software engineering and AI roles typically require a degree in computer science, engineering, or a closely related technical field. A mismatch here is the most common reason E-3 applications stall.
Research prevailing wage requirements early
Before your offer letter is finalized, use the OFLC Wage Search to look up the prevailing wage for your role and location. Fireworks hires across different metro areas, and the required wage varies significantly by region and occupation level under DOL wage tier classifications.
Confirm the LCA filing timeline with HR
Your employer must file and receive a certified Labor Condition Application from DOL before you can attend your consular interview. Ask Fireworks HR specifically when they plan to submit it, since delays in LCA certification can push your start date back by weeks.
Prepare your specialty occupation documentation
Gather your degree transcripts, any credential evaluations, and a detailed job description before your interview. For technical roles at Fireworks, the consular officer will want to see that your specific duties require at least a bachelor's degree in a directly related field, not just any degree.
Use Migrate Mate to verify Fireworks's filing history
Before accepting an offer, use Migrate Mate to check Fireworks's DOL Labor Condition Application filing history by occupation code. This shows which roles the company has sponsored and at what wage levels, giving you a clearer picture of what to expect before you start negotiating.
Clarify renewal sponsorship before signing
E-3 visas are granted in two-year increments with no limit on renewals, but your employer must re-file the LCA each cycle. Ask Fireworks directly whether they commit to renewal sponsorship for the role, since a change in team structure or headcount can affect future filing decisions.
Fireworks AI E-3 Visa Sponsorship: Frequently Asked Questions
Does Fireworks sponsor E-3 visas?
Yes, Fireworks sponsors E-3 visas for Australian nationals in qualifying specialty occupation roles, particularly in technology and software. The E-3 is available only to Australian citizens and requires a job offer in a role that demands at least a bachelor's degree in a directly related field. Fireworks has filed LCAs for E-3 positions through the DOL process.
Which roles at Fireworks typically qualify for E-3 sponsorship?
Roles in software engineering, machine learning, and AI infrastructure are the most likely to qualify at Fireworks, given the company's focus on generative AI technology. These positions typically require a degree in computer science, electrical engineering, or a related technical discipline, which satisfies the E-3 specialty occupation standard set by USCIS.
How do I start the E-3 application process at Fireworks?
Once you have a written job offer, Fireworks's HR or legal team files a Labor Condition Application with DOL. After that's certified, you complete the DS-160 online, pay the MRV fee, and schedule your consular interview at a U.S. embassy in Australia. You can use Migrate Mate to handle the filing steps and documentation with a dedicated E-3 visa expert.
How long does the E-3 process take at Fireworks?
The DOL LCA certification typically takes seven business days. After that, consular appointment availability in Australia determines your overall timeline. Sydney and Melbourne appointments are usually available within a few weeks during non-peak periods. The full process from offer letter to visa stamp commonly runs four to eight weeks, depending on consulate scheduling.
How do I confirm my role at Fireworks meets E-3 specialty occupation requirements?
Review the O*NET occupation profile for your job title to confirm it lists a bachelor's degree as the typical entry requirement. Cross-reference this with your actual job description from Fireworks. The consular officer will assess whether the specific duties of your role, not just the job title, require a degree in a directly related field under USCIS specialty occupation standards.
What is the prevailing wage for E-3 sponsorship at Fireworks?
E-3 employers must pay at least the prevailing wage, determined when they file a Labor Condition Application with the Department of Labor. The rate is based on the role, location, and experience level, ensuring Australian hires are paid comparably to U.S. workers in the same position. You can look up prevailing wage rates for any occupation and location using the DOL's OFLC Wage Search tool.