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Validation Engineer H1B Jobs (NOW HIRING)

Dallas area, TX, 100% onsite - Need to be local Duration - 6 Months+ Visa - Any Visa except H1B,CPT ... This person would need some familiarity with automation and validating HMI's preferably factorytalk ...

H1b/US Citizen/Green Card/ Visa Our client is one of the world's leading medical technology ... validation master plan completion. * Utilize and manage Design Controls as the division DPO.

H1b/US Citizen/Green Card/ Visa Our client is one of the world's leading medical technology ... validation master plan completion. * Utilize and manage Design Controls as the division DPO.

$28 - $45/hr

H1B Sponsorship Available | STEM OPT, OPT & CPT Candidates Welcome Position Overview We are seeking ... Work on model monitoring, validation, and performance tracking * Collaborate with cross-functional ...

$28 - $45/hr

H1B Sponsorship Available | STEM OPT, OPT & CPT Candidates Welcome Position Overview We are seeking ... Work on model monitoring, validation, and performance tracking * Collaborate with cross-functional ...

$28 - $45/hr

H1B Sponsorship Available | STEM OPT, OPT & CPT Candidates Welcome Position Overview We are seeking ... Work on model monitoring, validation, and performance tracking * Collaborate with cross-functional ...

JB061644 - Manufacturing Engineer

Marietta, GA · On-site

$69K - $89K/yr

Skills FDA,IQ/OQ/PQ Visa Types H1B, Green Card, US .. Key Responsibilities: Execute and support ... and execute validation protocols and reports in compliance with FDA and regulatory standards ...

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Validation Engineer H1B information

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$22

$51

$78

How much do validation engineer h1b jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for validation engineer h1b in the United States is $52.00, according to ZipRecruiter salary data. Most workers in this role earn between $39.42 and $63.22 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Validation Engineer, and why are they important?

To thrive as a Validation Engineer, you need a strong background in engineering principles, quality assurance, and regulatory compliance, typically supported by a degree in engineering or a related field. Familiarity with validation tools, statistical analysis software, and knowledge of industry standards such as FDA regulations or ISO guidelines are essential. Strong attention to detail, critical thinking, and effective communication skills help distinguish top performers in this role. These skills are crucial for ensuring products and processes meet rigorous quality and safety standards, reducing risks and maintaining regulatory compliance.

What are Validation Engineers on H1B visas?

Validation Engineers on H1B visas are professionals from abroad who are employed in the United States to ensure that systems, equipment, and processes meet regulatory and quality standards. They typically work in industries such as pharmaceuticals, biotechnology, and manufacturing, performing testing, documentation, and analysis to verify product compliance. The H1B visa allows U.S. employers to temporarily employ foreign workers in specialty occupations that require theoretical or technical expertise, such as validation engineering. These roles often require a bachelor’s degree or higher in engineering or a related field.

What are some common challenges Validation Engineers face when working in regulated industries, and how can they prepare for them?

Validation Engineers, especially those in regulated industries like pharmaceuticals or medical devices, often encounter challenges such as evolving regulatory requirements, tight project timelines, and the need for meticulous documentation. To prepare, it's essential to stay updated on industry standards (such as FDA or ISO guidelines), develop strong organizational skills for thorough record-keeping, and collaborate closely with cross-functional teams, including quality assurance and production. Proactively communicating and participating in ongoing training can also help mitigate compliance risks and ensure successful project outcomes.

What is the difference between Validation Engineer H1B vs Quality Assurance Engineer?

AspectValidation Engineer H1BQuality Assurance Engineer
Required CredentialsBachelor's in Engineering or related field, certifications like CSQE or CQE beneficialBachelor's in Engineering, Computer Science, or related field, certifications like CQE or CQA helpful
Work EnvironmentManufacturing, pharmaceutical, or biotech industries focusing on product validationSoftware, manufacturing, or service industries focusing on process and product quality
Employer & Industry UsageCommon in regulated industries requiring validation processesWidespread across industries emphasizing quality standards

Validation Engineers H1B primarily focus on validating products and processes in regulated industries, often requiring specific certifications. Quality Assurance Engineers also ensure product quality but have a broader scope, including process audits and software testing. Both roles share similar credentials but differ in industry focus and specific responsibilities.

More about Validation Engineer H1B jobs
What cities are hiring for Validation Engineer H1B jobs? Cities with the most Validation Engineer H1B job openings:
What states have the most Validation Engineer H1B jobs? States with the most job openings for Validation Engineer H1B jobs include:
Infographic showing various Validation Engineer H1B job openings in the United States as of June 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $108,152 per year, or $52 per hour.

Model Serving Engineer

Bright Vision Technologies

The Woodlands, TX • Remote

Other

This job post has expired today. Applications are no longer accepted.


Job description

Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We leverage cutting-edge technologies to create scalable, secure, and user-friendly applications.
As we continue to grow, we’re looking for a skilled Model Serving Engineer to join our dynamic team and contribute to our mission of transforming business processes through technology.
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
 Model Serving Engineer Job Title: Model Serving Engineer
Location: 100% Remote (Continental United States)
Position Type: In-house Bright Vision Technologies SOW engagement (no third-party client or vendor)
Salary : 100 K - 150 K
Experience: 6+ years
Sponsorship: No new H1B sponsorship available. H1B transfers welcomed for qualified candidates.
Employment Type: Full-time, direct W2 with Bright Vision Technologies (no C2C, no 1099, no third-party)
Engagement: Long-term, multi-year, aligned to the Bright Vision SOW delivery roadmap
Compensation: Competitive base salary commensurate with experience, plus benefits.
Employment Terms & Visa Policy
This is a 100% remote, full-time, direct W2 position with Bright Vision Technologies.
This role is part of Bright Vision Technologies’ in-house Statement of Work (SOW) engagement. The client, end customer, and employer for this position is Bright Vision Technologies — there is no third-party client, vendor, or implementation partner involved.
We do not engage in C2C, 1099, or third-party arrangements for this role.
BUT STRICTLY NO C2C/1099/3RD PARTY COMPANIES. ALL OUR ROLES ARE W2 AND NO 3RD PARTY BROKERING PLEASE.
Candidates must be willing to work directly as a full-time W2 employee of Bright Vision Technologies and contribute to our in-house SOW deliverables.
No new H1B sponsorship is available for this role.
However, candidates who are currently on a valid H1B visa and require a transfer are welcome to apply. We will support H1B transfers for qualified candidates.
For every role, a technical coding assessment is mandatory. Please apply only if you are confident in your technical abilities and hands-on experience.
Job Summary
We are seeking a Model Serving Engineer to design, build, and operate high-performance, highly reliable inference platforms for serving large machine learning models in production. The role focuses on the systems engineering side of AI deployment, including request routing, batching, caching, autoscaling, GPU utilization, and end-to-end observability across diverse model workloads. The ideal candidate brings strong distributed systems and performance engineering expertise, has shipped serving systems at scale, and understands the trade-offs between latency, throughput, cost, and quality in ML serving.
Key Responsibilities
  • Design and operate model serving platforms supporting diverse workloads including LLMs, vision models, and recommendation systems.
  • Optimize inference performance using continuous batching, paged attention, speculative decoding, and request multiplexing.
  • Implement multi-tenant routing, rate limiting, and quality-of-service policies across model endpoints.
  • Build autoscaling and capacity management systems that balance latency, throughput, and cost.
  • Tune GPU utilization, memory management, and KV cache strategies for LLM serving workloads.
  • Integrate model serving with API gateways, identity systems, and observability platforms.
  • Implement caching, prompt deduplication, and response reuse strategies where appropriate.
  • Drive end-to-end observability including latency histograms, queue dynamics, GPU utilization, and error tracking.
  • Develop deployment workflows including canary releases, shadow testing, and automated rollback.
  • Operate incident response for high-availability AI services and drive durable reliability improvements.
  • Collaborate with ML and product teams to support new model releases and capability rollouts.
  • Implement security controls including request signing, content filtering, and abuse detection at the serving layer.
  • Document operational procedures, performance characteristics, and tuning guidance for internal teams.
  • Stay current with AI serving research and translate advances into production capabilities.
Required Qualifications
  • Bachelor’s or Master’s degree in Computer Science or a related field.
  • Six or more years of experience in distributed systems, infrastructure, or ML platform engineering.
  • Strong proficiency in Python and a systems language such as Go, Rust, or C++.
  • Deep experience operating high-throughput, low-latency services in production.
  • Hands-on experience with LLM or large model inference frameworks such as vLLM or TensorRT-LLM.
  • Strong understanding of GPU architecture, memory hierarchies, and accelerator utilization.
  • Familiarity with Kubernetes, autoscaling, and modern cloud platforms.
  • Experience with observability stacks including metrics, tracing, and structured logging.
  • Solid grounding in performance engineering and capacity planning.
  • Strong communication and incident response skills.
Preferred Qualifications
  • Open-source contributions to model serving infrastructure.
  • Experience with multi-region or globally distributed AI serving.
  • Familiarity with model quantization, distillation, and compression techniques.
  • Exposure to FinOps for AI workloads and cost-efficient serving design.
  • Experience supporting external-facing AI APIs at scale.
How to Apply
Would you like to know more about this opportunity?
For immediate consideration, please send your resume to jenny@bvteck.com or contact us at (908) 505-3544. Learn more about Bright Vision Technologies at www.bvteck.com.
We recognize that our people are our strength, and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company.
We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.
Bright Vision Technologies is an Equal Opportunity Employer, including Disability/Veterans.
Position offered by “No Fee Agency.”


 

Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.