Bright Vision Technologies Visa Sponsorship Jobs USA
Bright Vision Technologies is an active visa sponsor in the technology and software sector, with a track record of supporting international talent through H-1B visa and OPT pathways. For software professionals and tech workers seeking U.S. sponsorship, Bright Vision represents a well-established option worth targeting.
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Get Access To All JobsINTRODUCTION
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Job Title: Edge ML Engineer
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $100,000–$150,000 Annually
EXPERIENCE REQUIRED
6+ years
JOB SUMMARY
We are looking for an Edge ML Engineer to design, optimize, and deploy machine learning models that run efficiently on resource-constrained edge devices, including mobile platforms, embedded systems, and specialized accelerators. The role requires deep expertise in model compression, quantization, and hardware-aware optimization, along with strong systems engineering skills to ship reliable AI capabilities outside the data center. The ideal candidate has shipped edge AI in production environments where compute, memory, energy, and connectivity constraints fundamentally shape the engineering trade-offs.
REQUIRED QUALIFICATIONS
- Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field
- Six or more years of experience in ML engineering, with significant work on edge or mobile AI
- Strong proficiency in Python and C++
- Hands-on experience with model compression, quantization, and pruning techniques
- Experience with at least one major edge inference framework
- Solid understanding of mobile and embedded hardware architectures
- Experience deploying ML models to production on mobile or embedded platforms
- Strong performance engineering and profiling skills
- Familiarity with on-device privacy and security considerations
- Strong communication and cross-functional collaboration skills
PREFERRED QUALIFICATIONS
- Experience with custom NPU or DSP toolchains
- Familiarity with federated learning or on-device personalization
- Exposure to safety-critical or industrial edge deployments
- Open-source contributions to edge AI frameworks
- Experience optimizing LLMs for on-device inference
HOW TO APPLY
Would you like to know more about this opportunity? For immediate consideration, please send your resume to jaya@bvteck.com or contact us at (908) 505-3545.
Bright Vision Technologies is an Equal Opportunity Employer.
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.
INTRODUCTION
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Job Title: Edge ML Engineer
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $100,000–$150,000 Annually
EXPERIENCE REQUIRED
6+ years
JOB SUMMARY
We are looking for an Edge ML Engineer to design, optimize, and deploy machine learning models that run efficiently on resource-constrained edge devices, including mobile platforms, embedded systems, and specialized accelerators. The role requires deep expertise in model compression, quantization, and hardware-aware optimization, along with strong systems engineering skills to ship reliable AI capabilities outside the data center. The ideal candidate has shipped edge AI in production environments where compute, memory, energy, and connectivity constraints fundamentally shape the engineering trade-offs.
REQUIRED QUALIFICATIONS
- Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field
- Six or more years of experience in ML engineering, with significant work on edge or mobile AI
- Strong proficiency in Python and C++
- Hands-on experience with model compression, quantization, and pruning techniques
- Experience with at least one major edge inference framework
- Solid understanding of mobile and embedded hardware architectures
- Experience deploying ML models to production on mobile or embedded platforms
- Strong performance engineering and profiling skills
- Familiarity with on-device privacy and security considerations
- Strong communication and cross-functional collaboration skills
PREFERRED QUALIFICATIONS
- Experience with custom NPU or DSP toolchains
- Familiarity with federated learning or on-device personalization
- Exposure to safety-critical or industrial edge deployments
- Open-source contributions to edge AI frameworks
- Experience optimizing LLMs for on-device inference
HOW TO APPLY
Would you like to know more about this opportunity? For immediate consideration, please send your resume to jaya@bvteck.com or contact us at (908) 505-3545.
Bright Vision Technologies is an Equal Opportunity Employer.
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.
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Get Access To All JobsTips for Finding Bright Vision Technologies Visa Sponsorship Jobs USA
Lead with your technical specialization
Bright Vision Technologies operates in software and tech, where deep specialization matters. Highlight your specific stack, domain expertise, or engineering focus in your application, generalist profiles are less competitive than candidates with clear, demonstrable technical depth.
Target roles that align with H-1B specialty occupation criteria
Bright Vision sponsors H-1B visas, which require specialty occupation roles. Focus your applications on software engineering, data, or product positions where a related bachelor's degree is a formal requirement, not just a preference.
Apply early if you're on OPT
Bright Vision sponsors F-1 OPT, but OPT windows are tight. If your work authorization is expiring within six months, prioritize outreach now. Employers need time to file before your OPT ends, especially if an H-1B cap-subject petition is involved.
Understand CPT roles are typically early-career
Bright Vision's F-1 CPT sponsorship suggests they hire interns and co-op students. If you're still in school, an internship here can be a strategic first step toward a full-time sponsored role after graduation.
Filter for verified sponsors before applying
Not every tech company that claims to sponsor actually follows through. Migrate Mate surfaces verified sponsors so you can filter by real sponsorship history, use it to confirm Bright Vision's track record before investing time in your application.
Prepare for a technical-first interview process
Technology and software companies like Bright Vision typically run multi-stage technical interviews. Prepare coding challenges, system design questions, and domain-specific scenarios before your first screen, sponsorship decisions often hinge on technical fit above all else.
Frequently Asked Questions
Does Bright Vision Technologies sponsor H-1B visas?
Yes, Bright Vision Technologies sponsors H-1B visas and has a consistent track record of doing so within the technology and software industry. The company actively supports international workers in specialty occupation roles, particularly those in software engineering and related technical fields. If you hold a qualifying degree and have a job offer in a specialty occupation, Bright Vision is worth targeting.
Which visa types does Bright Vision Technologies sponsor?
Bright Vision Technologies sponsors H-1B, F-1 OPT, and F-1 CPT visas, along with TN visas for eligible Canadian and Mexican nationals. This range of visa types indicates the company is experienced handling different authorization situations, from students on OPT transitioning to full-time roles, to experienced professionals requiring H-1B cap-subject or cap-exempt petitions.
Which roles at Bright Vision Technologies are most likely to receive visa sponsorship?
Given Bright Vision's focus on technology and software, sponsorship is most common in technical roles such as software engineering, data engineering, systems development, and product-adjacent positions where a specific degree is a requirement. Roles where any bachelor's degree satisfies the requirement, regardless of field, are less likely to meet H-1B specialty occupation standards and may not qualify for sponsorship.
How do I find open sponsored jobs at Bright Vision Technologies?
Migrate Mate lists verified sponsoring employers and lets you browse open roles filtered by visa type and company sponsorship history. Searching for Bright Vision Technologies on Migrate Mate gives you a direct view of current openings alongside confirmed sponsorship data, so you're not relying on a job listing that simply says 'visa sponsorship available' without evidence to back it up.
How do I time my application to Bright Vision Technologies if I'm on OPT?
If you're on F-1 OPT, apply to Bright Vision at least four to six months before your authorization expires. H-1B cap-subject petitions must be filed in April for an October 1 start date, so timing relative to the annual lottery window matters significantly. STEM OPT extensions can provide additional runway, but starting conversations with the employer early gives you the best chance of a smooth transition.