H-1B1 Singapore Visa Technical Lead Jobs
Technical Lead roles qualify for H-1B1 Singapore visa sponsorship when the position requires a bachelor's degree or higher in computer science, engineering, or a related specialty field. No lottery, no USCIS petition filing, your employer files the Labor Condition Application and you apply directly at the U.S. Embassy in Singapore.
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Get Access To All JobsWho We Are
Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale—empowering a safer, richer, and more connected future.
About the Role
Nuro takes a machine-learning-first approach to autonomous driving technology. In an ML-first system, the overall system performance depends heavily on the quantity and diversity of its training and evaluation data.
The team plays a crucial role in the advancement of autonomous driving systems by ensuring teams have access to high-quality labeled data. This is facilitated by a comprehensive labeling stack featuring a workflow execution framework, supporting infrastructure, and a suite of data annotation tools. Nuro’s autonomy stack utilizes an industry-leading sensor suite. Our tools must handle the efficient processing and annotation of millions of points of sensor data. Our labeling infrastructure supports millions of scenes weekly.
The platform team’s mission is to make labeled data accessible for all of our users. The system must be reliable and scalable. This includes everything from request submission to progress tracking, to data dumping and model development. The team closely collaborates with autonomy engineers to ensure our labeled data is high-quality and comprehensive. As Nuro prepares to expand and roll out our service, it will be more important than ever to ensure all issues are captured and quickly triaged.
About the Work
- Build highly available, fault-tolerant systems for data annotation
- Productionize core infrastructure for our state-of-the-art autonomy system
- Elevate label quality by implementing data-driven metrics and monitoring
- Apply cutting-edge ML research to automate and optimize the data labeling lifecycle
About You
- You have a B.Sc. or M.Sc. degree and 5+ years of relevant industry experience
- You have experience in designing, building, and operating highly scalable and reliable distributed data systems.
- You have experience leading cross-team projects and have excellent communication skills
- You are experienced in defining technical visions, creating roadmaps, and setting timelines and prioritization for a team or project.
- You have strong problem-solving and programming skills in Python, C++ or Go
Bonus Points
- Experience building reliable large scale distributed systems
- Experience with observability, monitoring and incident management
- Experience applying ML research in real world applications
- Experience leading teams, designing and executing team roadmaps
At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $235,030 and $352,290 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.
At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics.
Who We Are
Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale—empowering a safer, richer, and more connected future.
About the Role
Nuro takes a machine-learning-first approach to autonomous driving technology. In an ML-first system, the overall system performance depends heavily on the quantity and diversity of its training and evaluation data.
The team plays a crucial role in the advancement of autonomous driving systems by ensuring teams have access to high-quality labeled data. This is facilitated by a comprehensive labeling stack featuring a workflow execution framework, supporting infrastructure, and a suite of data annotation tools. Nuro’s autonomy stack utilizes an industry-leading sensor suite. Our tools must handle the efficient processing and annotation of millions of points of sensor data. Our labeling infrastructure supports millions of scenes weekly.
The platform team’s mission is to make labeled data accessible for all of our users. The system must be reliable and scalable. This includes everything from request submission to progress tracking, to data dumping and model development. The team closely collaborates with autonomy engineers to ensure our labeled data is high-quality and comprehensive. As Nuro prepares to expand and roll out our service, it will be more important than ever to ensure all issues are captured and quickly triaged.
About the Work
- Build highly available, fault-tolerant systems for data annotation
- Productionize core infrastructure for our state-of-the-art autonomy system
- Elevate label quality by implementing data-driven metrics and monitoring
- Apply cutting-edge ML research to automate and optimize the data labeling lifecycle
About You
- You have a B.Sc. or M.Sc. degree and 5+ years of relevant industry experience
- You have experience in designing, building, and operating highly scalable and reliable distributed data systems.
- You have experience leading cross-team projects and have excellent communication skills
- You are experienced in defining technical visions, creating roadmaps, and setting timelines and prioritization for a team or project.
- You have strong problem-solving and programming skills in Python, C++ or Go
Bonus Points
- Experience building reliable large scale distributed systems
- Experience with observability, monitoring and incident management
- Experience applying ML research in real world applications
- Experience leading teams, designing and executing team roadmaps
At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $235,030 and $352,290 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.
At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics.
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Get Access To All JobsTips for Finding Technical Lead Jobs
Verify your role meets specialty occupation
Pull the O*NET profile for Technical Lead or Software Development Manager and confirm the listed education requirement is a specific bachelor's degree field. Job postings that say 'degree preferred' instead of 'required' can create problems at the consulate.
Check your employer's LCA filing history
Use Migrate Mate to filter for employers who have filed H-1B1 visa Labor Condition Applications for technical or engineering roles. Active LCA history signals the hiring team already understands the sponsorship process and won't stall at the offer stage.
Request the LCA wage level in writing
Before accepting an offer, ask which DOL prevailing wage level your employer intends to certify. Technical Lead roles span Levels II through IV depending on supervisory scope. A Level I certification for a lead role can draw consular scrutiny.
Prepare your credential evaluation early
Singapore's three-year bachelor's degrees sometimes require a credential evaluation letter confirming U.S. equivalency. Commission this from a NACES-approved evaluator before your employer starts the LCA, not after the offer letter arrives.
Target companies already enrolled in E-Verify
E-Verify enrollment isn't required for H-1B1 sponsorship, but employers already enrolled have completed identity-verification compliance and are far more familiar with work-authorization processes for foreign nationals in technical roles.
Time your interview around LCA certification
The DOL must certify the LCA before your consular interview. Standard LCA certification takes seven business days, but plan for delays. Scheduling your U.S. Embassy appointment before the certified LCA is in hand will result in a 221(g) administrative hold.
Frequently Asked Questions
Does a Technical Lead role qualify as a specialty occupation for the H-1B1 Singapore visa?
Yes, provided the job requires a bachelor's degree or higher in a specific technical field such as computer science, software engineering, or electrical engineering. The key distinction is that the degree requirement must be tied directly to the role. A Technical Lead position that accepts any bachelor's degree regardless of field may not satisfy the specialty occupation standard at the consulate.
How does the H-1B1 Singapore visa compare to the H-1B for Technical Lead hiring?
For Singaporean nationals, the H-1B visa1 has two major structural advantages over the H-1B: no lottery and no USCIS petition. Your employer files a Labor Condition Application with the DOL and you apply directly at the U.S. Embassy in Singapore. The annual cap is 5,400 slots and has never filled, so timing isn't driven by a random selection event the way H-1B is.
How do I find employers who have sponsored H-1B1 Singapore visas for Technical Lead roles?
Migrate Mate shows verified DOL Labor Condition Application filing history filtered by visa type and occupation, so you can identify which employers have actively sponsored H-1B1 roles in software engineering and technical leadership. This is more reliable than inferring sponsorship willingness from a job posting alone, since many employers sponsor without advertising it.
What documents does my employer need to prepare before my consular interview?
Your employer must obtain a certified Labor Condition Application from the DOL before your interview at the U.S. Embassy in Singapore. You'll also need a support letter from the employer confirming your role, salary, and start date, along with the certified LCA itself. Bring your academic credentials and any professional certifications relevant to the Technical Lead scope.
Can I switch employers after entering the U.S. on an H-1B1 Singapore visa?
Yes, but the H-1B1 doesn't allow portability the way an approved H-1B petition does. Your new employer must file and receive a certified LCA and you must obtain a new H-1B1 visa stamp before starting work for them. You can't begin employment under a new sponsor simply because they've filed paperwork, so plan your transition timeline carefully.
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