Software Engineer Visa Sponsorship Jobs in Tennessee
Tennessee's software engineer job market is anchored by Nashville's growing tech sector, with major employers like HCA Healthcare, Asurion, and Bridgestone Americas actively hiring engineers. Memphis and Knoxville add depth through logistics technology and university-connected research roles. Several Tennessee-based companies and large national firms with regional offices have documented histories of H-1B visa sponsorship for software engineering positions.
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Get Access To All JobsLead Principal Software Engineer — AI Infrastructure, Network Modeling & Control
Build the network control software that enables OCI’s AI infrastructure to scale. Large-scale AI training and inference depend on reliable, high-performance networks connecting GPU infrastructure. Oracle Cloud Infrastructure’s Network Modeling and Control team builds the software that models these physical networks and enables their configuration, expansion, and safe operation.
Our services help turn infrastructure designs into working networks and coordinate changes as capacity grows. You will tackle distributed systems challenges at the intersection of software, networking, and AI infrastructure: maintaining consistent network state, coordinating concurrent changes, recovering from partial failures, and introducing automation that protects availability.
We are looking for a hands-on Lead Principal Software Engineer to shape the architecture and evolution of these services. Your decisions will help determine how efficiently OCI brings new AI network capacity online and how reliably that infrastructure operates.
This is an individual contributor role with technical influence across teams. You will define architecture, write and review critical code, lead complex initiatives through production, and mentor engineers.
What makes this work interesting:
- Direct impact on AI infrastructure. Build foundational software for the networks supporting GPU clusters and AI workloads.
- Software that controls physical systems. Translate network topology and intended configuration into safe, coordinated infrastructure changes.
- Challenging distributed systems problems. Address concurrency, consistency, scheduling, and failure recovery in services where correctness affects network availability.
- Architectural influence as infrastructure grows. Shape how our services accommodate larger networks, new topologies, and evolving AI infrastructure requirements.
What you will do:
- Lead architecture and hands-on development for distributed services supporting network modeling, configuration, and lifecycle operations across OCI’s AI and cloud infrastructure.
- Evolve network models, APIs, and automation to support expanding GPU infrastructure and new network architectures.
- Design reliable workflows for concurrent and long-running changes, with clear approaches to state management, retries, recovery, and rollback.
- Build safety into network automation through validation, controlled rollout, observability, and limits on the scope of failures.
- Improve service performance and scalability to accelerate infrastructure provisioning and network changes.
- Partner with network engineering, infrastructure delivery, operations, and adjacent software teams to bring new capabilities into production.
- Own major technical initiatives from problem definition through implementation, rollout, and measurable production outcomes.
- Mentor engineers and use production experience to improve architecture, reduce recurring failures, and eliminate manual work.
What you bring:
- 10+ years of software engineering experience, including substantial experience designing and operating distributed systems.
- Strong programming skills and a record of delivering complex production software.
- Deep understanding of concurrency, consistency, fault tolerance, API design, and persistent state.
- Experience making architectural decisions across services and explaining their tradeoffs clearly.
- Evidence of leading complex initiatives across teams while remaining close to implementation.
- Strong judgment about reliability, operational readiness, and safe infrastructure changes.
Experience that would help you succeed:
- Infrastructure software supporting AI/ML platforms, GPU clusters, or large-scale compute environments.
- Network automation, network modeling, configuration management, or infrastructure control systems.
- Workflow orchestration, reconciliation, or scheduling across distributed resources.
- Model-based testing, formal methods, or other techniques for verifying complex state transitions.
You do not need prior experience with every technology in our environment. We value strong systems fundamentals, sound engineering judgment, and the ability to learn a complex domain.
Lead Principal Software Engineer — AI Infrastructure, Network Modeling & Control
Build the network control software that enables OCI’s AI infrastructure to scale. Large-scale AI training and inference depend on reliable, high-performance networks connecting GPU infrastructure. Oracle Cloud Infrastructure’s Network Modeling and Control team builds the software that models these physical networks and enables their configuration, expansion, and safe operation.
Our services help turn infrastructure designs into working networks and coordinate changes as capacity grows. You will tackle distributed systems challenges at the intersection of software, networking, and AI infrastructure: maintaining consistent network state, coordinating concurrent changes, recovering from partial failures, and introducing automation that protects availability.
We are looking for a hands-on Lead Principal Software Engineer to shape the architecture and evolution of these services. Your decisions will help determine how efficiently OCI brings new AI network capacity online and how reliably that infrastructure operates.
This is an individual contributor role with technical influence across teams. You will define architecture, write and review critical code, lead complex initiatives through production, and mentor engineers.
What makes this work interesting:
- Direct impact on AI infrastructure. Build foundational software for the networks supporting GPU clusters and AI workloads.
- Software that controls physical systems. Translate network topology and intended configuration into safe, coordinated infrastructure changes.
- Challenging distributed systems problems. Address concurrency, consistency, scheduling, and failure recovery in services where correctness affects network availability.
- Architectural influence as infrastructure grows. Shape how our services accommodate larger networks, new topologies, and evolving AI infrastructure requirements.
What you will do:
- Lead architecture and hands-on development for distributed services supporting network modeling, configuration, and lifecycle operations across OCI’s AI and cloud infrastructure.
- Evolve network models, APIs, and automation to support expanding GPU infrastructure and new network architectures.
- Design reliable workflows for concurrent and long-running changes, with clear approaches to state management, retries, recovery, and rollback.
- Build safety into network automation through validation, controlled rollout, observability, and limits on the scope of failures.
- Improve service performance and scalability to accelerate infrastructure provisioning and network changes.
- Partner with network engineering, infrastructure delivery, operations, and adjacent software teams to bring new capabilities into production.
- Own major technical initiatives from problem definition through implementation, rollout, and measurable production outcomes.
- Mentor engineers and use production experience to improve architecture, reduce recurring failures, and eliminate manual work.
What you bring:
- 10+ years of software engineering experience, including substantial experience designing and operating distributed systems.
- Strong programming skills and a record of delivering complex production software.
- Deep understanding of concurrency, consistency, fault tolerance, API design, and persistent state.
- Experience making architectural decisions across services and explaining their tradeoffs clearly.
- Evidence of leading complex initiatives across teams while remaining close to implementation.
- Strong judgment about reliability, operational readiness, and safe infrastructure changes.
Experience that would help you succeed:
- Infrastructure software supporting AI/ML platforms, GPU clusters, or large-scale compute environments.
- Network automation, network modeling, configuration management, or infrastructure control systems.
- Workflow orchestration, reconciliation, or scheduling across distributed resources.
- Model-based testing, formal methods, or other techniques for verifying complex state transitions.
You do not need prior experience with every technology in our environment. We value strong systems fundamentals, sound engineering judgment, and the ability to learn a complex domain.
Software Engineer Job Roles in Tennessee
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Search Software Engineer Jobs in TennesseeSoftware Engineer Jobs in Tennessee: Frequently Asked Questions
Which companies in Tennessee sponsor visas for software engineers?
HCA Healthcare, Asurion, and FedEx (headquartered in Memphis) are among the most active H-1B sponsors for software engineers in Tennessee. Amazon, Deloitte, and Cognizant also file H-1B petitions for engineers at their Nashville-area offices. USCIS OFLC disclosure data is the most reliable way to verify which specific employers have sponsored software engineering roles in the state.
Which visa types are most commonly used for software engineer roles in Tennessee?
The H-1B is the most common visa category for software engineers in Tennessee, as these roles typically qualify as specialty occupations requiring at least a bachelor's degree in computer science, software engineering, or a related field. Some engineers also work under L-1 visas when transferring within a multinational company. OPT and STEM OPT are frequently used by recent graduates from Tennessee universities while pursuing full H-1B sponsorship.
Which cities in Tennessee have the most software engineer visa sponsorship jobs?
Nashville is Tennessee's primary hub for sponsored software engineering roles, driven by its healthcare technology sector, fintech startups, and large corporate headquarters. Memphis sees sponsorship activity in logistics and supply chain technology, largely tied to FedEx and its vendor ecosystem. Knoxville has a smaller but active market, with University of Tennessee partnerships feeding into regional tech employers and Oak Ridge National Laboratory-affiliated companies.
How to find software engineer visa sponsorship jobs in Tennessee?
Migrate Mate is built specifically for international job seekers and filters software engineer roles in Tennessee by visa sponsorship history, so you're not sorting through listings that won't consider work authorization. The platform focuses on H-1B-sponsoring employers, which is directly relevant for software engineering roles in Nashville, Memphis, and Knoxville. Searching by Tennessee on Migrate Mate surfaces employers with verified sponsorship track records in this role category.
Are there any Tennessee-specific factors software engineers should know when pursuing visa sponsorship?
Tennessee has no state income tax on wages, which affects how employers and candidates think about total compensation, though it does not change the federal prevailing wage requirements tied to H-1B petitions. Nashville's concentration of healthcare IT companies means many sponsored software engineering roles involve HIPAA-regulated environments, which can influence job requirements. Vanderbilt University, University of Tennessee, and Tennessee Tech produce engineering graduates who create local pipelines that some employers leverage before filing H-1B petitions.
What is the prevailing wage for sponsored software engineer jobs in Tennessee?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.