Virtue AI Visa Sponsorship USA
Virtue AI operates in the competitive AI and software space, where visa sponsorship is often essential for accessing global talent. The company sponsors H-1B visas as well as F-1 OPT and CPT, making it a relevant target for international candidates in tech roles seeking U.S. work authorization.
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Get Access To All JobsLocation: San Francisco, CA (Onsite | Remote)
About Virtue AI
Virtue AI sets the standard for advanced AI security platforms. Built on decades of foundational and award-winning research in AI security, its AI-native architecture unifies automated red-teaming, real-time multimodal guardrails, and systematic governance for enterprise apps and agents. Deploy in minutes—across any environment—to keep your AI protected and compliant. We are a well-funded, early-stage startup founded by industry veterans, and we're looking for passionate builders to join our core team.
What You’ll Do
As an Inference Engineer, you will own how models are served in production. Your job is to make inferences fast, stable, observable, and cost-efficient —even under unpredictable workloads. You will:
- Serve and optimize LLM, embedding, and other ML models' inference across multiple model families
- Design and operate inference APIs with clear contracts, versioning, and backward compatibility
- Build routing and load-balancing logic for inference traffic
- Multi-model routing
- Fallback and degradation strategies
- vLLM or SGLang
- Package inference services into production-ready Docker images
- Implement logging and metrics for inference systems
- Latency, throughput, token counts, GPU utilization
- Prometheus-based metrics
- Analyze server uptime and failure modes
- GPU OOMs, hangs, slowdowns, fragmentation
- Recovery and restart strategies
- Design GPU and model placement strategies
- Model sharding, replication, and batching
- Tradeoffs between latency, cost, and availability
- Work closely with backend, platform (Cloud, DevOps), and ML teams to align inference behavior with product requirements
What Makes You a Great Fit
You understand that inference is a systems problem, not just a model problem. You think in QPS, p99 latency, GPU memory, and failure domains.
Required Qualifications
- Bachelor’s degree or higher in CS, CE, or related field
- Strong experience serving LLMs and embedding models in production
- Hands-on experience designing:
- Inference APIs
- Load balancing and routing logic
- Experience with SGLang, vLLM, TensorRT, or similar inference frameworks
- Strong understanding of GPU behavior
- Memory limits, batching, fragmentation, utilization
- Experience with:
- Docker
- Prometheus metrics
- Structured logging
- Ability to debug and fix real inference failures in production
- Experience with autoscaling inference services
- Familiarity with Kubernetes GPU scheduling
- Experience supporting production systems with real SLAs
- Proven ability to debug and fix inference failures in production
- Comfortable operating in a fast-paced startup environment with high ownership
Preferred Qualifications
- Experience with GPU-level optimization
- Memory planning and reuse
- Kernel launch efficiency
- Reducing fragmentation and allocator overhead
- Experience with kernel- or runtime-level optimization
- CUDA kernels, Triton kernels, or custom ops
- Experience with model-level inference optimization
- Quantization (FP8 / INT8 / BF16)
- KV-cache optimization
- Speculative decoding or batching strategies
- Experience pushing inference efficiency boundaries (latency, throughput, or cost)
Why Join Virtue AI
- Competitive salary + equity
- Direct ownership of inference reliability and performance
- Hard problems at the intersection of systems, GPUs, and AI
- Production impact – Your work directly affects latency, cost, and uptime
- Strong technical culture – Engineers who debug and optimize, not just prototype
Compensation Range: $150K - $250K
Location: San Francisco, CA (Onsite | Remote)
About Virtue AI
Virtue AI sets the standard for advanced AI security platforms. Built on decades of foundational and award-winning research in AI security, its AI-native architecture unifies automated red-teaming, real-time multimodal guardrails, and systematic governance for enterprise apps and agents. Deploy in minutes—across any environment—to keep your AI protected and compliant. We are a well-funded, early-stage startup founded by industry veterans, and we're looking for passionate builders to join our core team.
What You’ll Do
As an Inference Engineer, you will own how models are served in production. Your job is to make inferences fast, stable, observable, and cost-efficient —even under unpredictable workloads. You will:
- Serve and optimize LLM, embedding, and other ML models' inference across multiple model families
- Design and operate inference APIs with clear contracts, versioning, and backward compatibility
- Build routing and load-balancing logic for inference traffic
- Multi-model routing
- Fallback and degradation strategies
- vLLM or SGLang
- Package inference services into production-ready Docker images
- Implement logging and metrics for inference systems
- Latency, throughput, token counts, GPU utilization
- Prometheus-based metrics
- Analyze server uptime and failure modes
- GPU OOMs, hangs, slowdowns, fragmentation
- Recovery and restart strategies
- Design GPU and model placement strategies
- Model sharding, replication, and batching
- Tradeoffs between latency, cost, and availability
- Work closely with backend, platform (Cloud, DevOps), and ML teams to align inference behavior with product requirements
What Makes You a Great Fit
You understand that inference is a systems problem, not just a model problem. You think in QPS, p99 latency, GPU memory, and failure domains.
Required Qualifications
- Bachelor’s degree or higher in CS, CE, or related field
- Strong experience serving LLMs and embedding models in production
- Hands-on experience designing:
- Inference APIs
- Load balancing and routing logic
- Experience with SGLang, vLLM, TensorRT, or similar inference frameworks
- Strong understanding of GPU behavior
- Memory limits, batching, fragmentation, utilization
- Experience with:
- Docker
- Prometheus metrics
- Structured logging
- Ability to debug and fix real inference failures in production
- Experience with autoscaling inference services
- Familiarity with Kubernetes GPU scheduling
- Experience supporting production systems with real SLAs
- Proven ability to debug and fix inference failures in production
- Comfortable operating in a fast-paced startup environment with high ownership
Preferred Qualifications
- Experience with GPU-level optimization
- Memory planning and reuse
- Kernel launch efficiency
- Reducing fragmentation and allocator overhead
- Experience with kernel- or runtime-level optimization
- CUDA kernels, Triton kernels, or custom ops
- Experience with model-level inference optimization
- Quantization (FP8 / INT8 / BF16)
- KV-cache optimization
- Speculative decoding or batching strategies
- Experience pushing inference efficiency boundaries (latency, throughput, or cost)
Why Join Virtue AI
- Competitive salary + equity
- Direct ownership of inference reliability and performance
- Hard problems at the intersection of systems, GPUs, and AI
- Production impact – Your work directly affects latency, cost, and uptime
- Strong technical culture – Engineers who debug and optimize, not just prototype
Compensation Range: $150K - $250K
Job Roles at Virtue AI Companies
How to Get Visa Sponsorship in Virtue AI Visa Sponsorship USA
Target roles that align with H-1B specialty occupation requirements
Virtue AI's sponsorship is concentrated in technology and software. Focus your application on roles requiring a specific technical degree, software engineering, machine learning, data science, where H-1B specialty occupation standards are clearly met and sponsorship is most likely.
Understand the H-1B timeline before you apply
H-1B sponsorship at tech companies like Virtue AI requires planning around the April lottery and October start date. Apply early enough that an offer can be structured around cap filing deadlines, bring this up professionally once you've received an offer.
Frame your visa status clearly in outreach
AI and software companies are accustomed to sponsoring international talent, but clarity helps. State your visa type, authorization period, and what sponsorship you'll eventually need upfront, it removes ambiguity and signals you understand the process.
Look for roles in core engineering and AI functions
At AI-focused technology companies, sponsorship tends to follow technical hiring. Roles in model development, infrastructure, and software engineering are where international hiring is most common. Concentrate your search there rather than on support or operational functions.
Browse verified sponsors before applying broadly
Not every company that claims to sponsor actually does so consistently. Migrate Mate surfaces verified sponsors so you can filter by real sponsorship history, saving time and helping you prioritize companies like Virtue AI with a documented track record.
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Get Access To All JobsFrequently Asked Questions
Does Virtue AI sponsor H-1B visas?
Yes, Virtue AI sponsors H-1B visas. As an AI and software company, Virtue AI hires technical talent that often requires H-1B sponsorship, particularly for roles in software engineering and machine learning. If you're on F-1 OPT, they also support that status, which can serve as a pathway toward H-1B sponsorship down the line.
What visa types does Virtue AI sponsor?
Virtue AI sponsors H-1B visas for skilled technical workers, as well as F-1 OPT and F-1 CPT for international students. They also support TN visas, which are available to Canadian and Mexican nationals in qualifying professional roles. This range of visa types reflects a company that regularly hires from an international talent pool across different authorization stages.
Which roles at Virtue AI are most likely to receive visa sponsorship?
Sponsorship at AI and software companies like Virtue AI tends to concentrate in technical functions, software engineering, data science, machine learning research, and related fields. These roles typically meet H-1B specialty occupation requirements and represent the core of the company's hiring needs. Non-technical or generalist roles are less likely to be sponsored, though it varies by the specific position and business need.
How do I find open visa-sponsored jobs at Virtue AI?
The most efficient way is to use Migrate Mate, which aggregates job listings from verified visa sponsors and lets you filter by company and visa type. This ensures you're only looking at roles where sponsorship is actually available, rather than applying broadly and discovering late in the process that a company won't support your visa status.
How do I approach Virtue AI about visa sponsorship during the hiring process?
Wait until you have a verbal offer or are in late-stage interviews before raising visa sponsorship details. At that point, be direct: confirm which visa type you need, your current authorization status, and any relevant deadlines such as OPT expiration. AI-focused tech companies with a history of international hiring are generally familiar with the process, so a clear, professional conversation tends to go smoothly.
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