H-1B1 Singapore Visa Hardware Engineer Jobs
Hardware Engineer jobs with H-1B1 Singapore visa sponsorship don't require a lottery or USCIS petition filing. Singaporean nationals apply directly at the U.S. consulate under the U.S.-Singapore Free Trade Agreement, with an annual cap of 5,400 visas that has never come close to filling. Employers confirm the role meets specialty occupation standards before you apply.
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Get Access To All JobsLocation:
San Jose
Team:
Technology
Employment Type:
Regular
Job Code:
A98705
Responsibilities
About the Team
We are building the future of edge AI — where on-device intelligence meets lightweight, wearable hardware such as Mixed Reality headwear and modular peripherals. As AI shifts from the cloud to the device, our team is focused on solving the "last inch" of physical interaction: making local AI feel natural, responsive, and seamlessly connected to the user's environment. You will work alongside mechanical engineers, industrial designers, ML engineers, optical and sensor teams, and human-factors specialists to ship experiences where hardware form, system behavior, and AI capability function as one coherent product.
We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.
Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume.
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
- Partner directly with customers, field teams, engineers, and end users to understand real-world workflows, deployment conditions, and failure points, and translate them into clear UX hypotheses, interaction models, and prototype plans.
- Design forward-deployed UX programs that adapt core product capabilities across industries, environments, and user groups without fragmenting the overall experience.
- Define how on-device AI communicates system state, confidence, progress, uncertainty, limitations, and required user actions across Small Language Models, local multimodal models, vector embeddings, sensor fusion, and hybrid local-cloud architectures.
- Determine which interactions stay local for speed, privacy, reliability, or safety, and which escalate to the cloud, and design graceful degradation under limited connectivity, compute, sensor quality, battery, or model performance.
- Collaborate with ML engineers to understand model behavior and translate technical capabilities into predictable user-facing experiences, balancing inference speed, quality, thermal performance, battery, privacy, and responsiveness.
- Design agentic interaction models — including intent interpretation, task delegation, confirmation, interruption, cancellation, correction, escalation, and recovery — with clear boundaries between autonomous behavior and explicit user control.
- Design understandable representations of agent status (active, waiting, blocked, uncertain, completed, failed, requiring approval) and ensure users can inspect, redirect, pause, or reverse consequential AI actions.
- Work with industrial designers, hardware engineers, optical engineers, sensor teams, and human-factors specialists to translate interaction requirements into physical product implications: sensor placement, button location, display behavior, haptics, weight distribution, visibility, and thermal comfort.
- Design logic-based spatial systems that adapt dynamically to real-time data and hardware form factors, using ambient, haptic, auditory, and visual cues to communicate model state without overwhelming cognitive load.
- Build high-fidelity interactive spatial prototypes and digital simulation frameworks to stress-test multi-agent behaviors against boundary conditions, hallucination spikes, and context-window failures before physical deployment.
- Establish rapid feedback loops between field deployments and central product, design, research, and engineering teams, and identify where issues require software, model, hardware, workflow, or user-education changes.
Qualifications
Minimum Qualifications
- Individuals who are completing or have recently completed a Master's degree in Human-Computer Interaction (HCI), Industrial Design, Interaction Design, User Experience (UX), Human Factors Engineering, Design Engineering, Computer Science (HCI/AR/VR focus), Mechanical Engineering (Product Design/Human Factors), Cognitive Science, or a related field.
- Experience designing embedded systems, AR/MR hardware, wearable devices, or physical-digital products, demonstrated through academic projects, internships, research, or a portfolio showcasing 3D spatial and physical-form thinking.
- Understanding of on-device AI and edge computing concepts, including Small Language Models (SLMs), local vector embeddings, and the tradeoffs between inference speed, battery life, thermal performance, and user experience.
- Strong foundation in industrial design, ergonomics, and spatial interaction design, with the ability to consider how digital interfaces integrate with physical hardware constraints and human factors.
- Experience collaborating across multidisciplinary teams (e.g., mechanical engineering, industrial design, embedded systems, or AI/ML) through coursework, research, internships, or project-based work to develop hardware-software experiences.
- Proficiency in building interactive prototypes using modern UX and 3D prototyping tools (e.g., Figma, Three.js, WebGL, Unity, Unreal Engine, or similar), with familiarity analyzing sensor data (e.g., IMUs, spatial mapping) and an understanding of edge hardware constraints such as NPUs, thermal limits, and memory management.
Preferred Qualifications
- Experience designing state-driven spatial visualizers and ambient indicators that dynamically construct themselves from multi-agent states, geometric transformations, and real-time environmental conditions.
- Familiarity integrating generative workflows directly into engineering tools via protocols such as the Model Context Protocol (MCP), rather than relying on faked interactions or legacy visual scripting.
- Experience defining multimodal guardrails for gaze, gesture, and tactile interactions, including clear UX policies for autonomous action versus human override.
- Background designing low-latency interrupt and latency-masking patterns for edge-driven agents, using ambient cues to keep users anchored during inference and handoffs.
- Experience designing feedback loops for systems that balance objective physical constraints (structural integrity, thermal/computational limits) with subjective human factors (aesthetic preference, physical comfort), including AgentRL-style tuning workflows.
- Experience shipping AI, AR, VR, MR, or wearable hardware products from concept through manufacturing.
Job Information
Compensation Description (Annually)
The base salary range for this position in the selected city is $76000 - $151200 annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
-
Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
-
Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
-
Exercising sound judgment.
About us
Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.
Why Join ByteDance
Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.
As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
Reasonable Accommodation
ByteDance is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at
https://tinyurl.com/RA-request
Location:
San Jose
Team:
Technology
Employment Type:
Regular
Job Code:
A98705
Responsibilities
About the Team
We are building the future of edge AI — where on-device intelligence meets lightweight, wearable hardware such as Mixed Reality headwear and modular peripherals. As AI shifts from the cloud to the device, our team is focused on solving the "last inch" of physical interaction: making local AI feel natural, responsive, and seamlessly connected to the user's environment. You will work alongside mechanical engineers, industrial designers, ML engineers, optical and sensor teams, and human-factors specialists to ship experiences where hardware form, system behavior, and AI capability function as one coherent product.
We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.
Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume.
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
- Partner directly with customers, field teams, engineers, and end users to understand real-world workflows, deployment conditions, and failure points, and translate them into clear UX hypotheses, interaction models, and prototype plans.
- Design forward-deployed UX programs that adapt core product capabilities across industries, environments, and user groups without fragmenting the overall experience.
- Define how on-device AI communicates system state, confidence, progress, uncertainty, limitations, and required user actions across Small Language Models, local multimodal models, vector embeddings, sensor fusion, and hybrid local-cloud architectures.
- Determine which interactions stay local for speed, privacy, reliability, or safety, and which escalate to the cloud, and design graceful degradation under limited connectivity, compute, sensor quality, battery, or model performance.
- Collaborate with ML engineers to understand model behavior and translate technical capabilities into predictable user-facing experiences, balancing inference speed, quality, thermal performance, battery, privacy, and responsiveness.
- Design agentic interaction models — including intent interpretation, task delegation, confirmation, interruption, cancellation, correction, escalation, and recovery — with clear boundaries between autonomous behavior and explicit user control.
- Design understandable representations of agent status (active, waiting, blocked, uncertain, completed, failed, requiring approval) and ensure users can inspect, redirect, pause, or reverse consequential AI actions.
- Work with industrial designers, hardware engineers, optical engineers, sensor teams, and human-factors specialists to translate interaction requirements into physical product implications: sensor placement, button location, display behavior, haptics, weight distribution, visibility, and thermal comfort.
- Design logic-based spatial systems that adapt dynamically to real-time data and hardware form factors, using ambient, haptic, auditory, and visual cues to communicate model state without overwhelming cognitive load.
- Build high-fidelity interactive spatial prototypes and digital simulation frameworks to stress-test multi-agent behaviors against boundary conditions, hallucination spikes, and context-window failures before physical deployment.
- Establish rapid feedback loops between field deployments and central product, design, research, and engineering teams, and identify where issues require software, model, hardware, workflow, or user-education changes.
Qualifications
Minimum Qualifications
- Individuals who are completing or have recently completed a Master's degree in Human-Computer Interaction (HCI), Industrial Design, Interaction Design, User Experience (UX), Human Factors Engineering, Design Engineering, Computer Science (HCI/AR/VR focus), Mechanical Engineering (Product Design/Human Factors), Cognitive Science, or a related field.
- Experience designing embedded systems, AR/MR hardware, wearable devices, or physical-digital products, demonstrated through academic projects, internships, research, or a portfolio showcasing 3D spatial and physical-form thinking.
- Understanding of on-device AI and edge computing concepts, including Small Language Models (SLMs), local vector embeddings, and the tradeoffs between inference speed, battery life, thermal performance, and user experience.
- Strong foundation in industrial design, ergonomics, and spatial interaction design, with the ability to consider how digital interfaces integrate with physical hardware constraints and human factors.
- Experience collaborating across multidisciplinary teams (e.g., mechanical engineering, industrial design, embedded systems, or AI/ML) through coursework, research, internships, or project-based work to develop hardware-software experiences.
- Proficiency in building interactive prototypes using modern UX and 3D prototyping tools (e.g., Figma, Three.js, WebGL, Unity, Unreal Engine, or similar), with familiarity analyzing sensor data (e.g., IMUs, spatial mapping) and an understanding of edge hardware constraints such as NPUs, thermal limits, and memory management.
Preferred Qualifications
- Experience designing state-driven spatial visualizers and ambient indicators that dynamically construct themselves from multi-agent states, geometric transformations, and real-time environmental conditions.
- Familiarity integrating generative workflows directly into engineering tools via protocols such as the Model Context Protocol (MCP), rather than relying on faked interactions or legacy visual scripting.
- Experience defining multimodal guardrails for gaze, gesture, and tactile interactions, including clear UX policies for autonomous action versus human override.
- Background designing low-latency interrupt and latency-masking patterns for edge-driven agents, using ambient cues to keep users anchored during inference and handoffs.
- Experience designing feedback loops for systems that balance objective physical constraints (structural integrity, thermal/computational limits) with subjective human factors (aesthetic preference, physical comfort), including AgentRL-style tuning workflows.
- Experience shipping AI, AR, VR, MR, or wearable hardware products from concept through manufacturing.
Job Information
Compensation Description (Annually)
The base salary range for this position in the selected city is $76000 - $151200 annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
-
Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
-
Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
-
Exercising sound judgment.
About us
Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.
Why Join ByteDance
Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.
As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
Reasonable Accommodation
ByteDance is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at
https://tinyurl.com/RA-request
See all 280+ H-1B1 Singapore Visa Hardware Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B1 Singapore Visa Hardware Engineer Jobs.
Get Access To All JobsTips for Finding Visa Sponsorship as a Hardware Engineer
Verify your hardware role qualifies
H-1B1 visa requires a specialty occupation tied to a specific field of study. Cross-check your job title and duties against O*NET's Hardware Engineer profile to confirm the degree requirement is explicit, not just preferred, before approaching employers.
Target employers with active LCA filings
Use Migrate Mate to filter Hardware Engineer roles by employers who have filed Labor Condition Applications for H-1B1 Singapore positions. Verified LCA history means the employer already understands the consular process and prevailing wage obligations.
Request the LCA before your interview
Your employer files the LCA with DOL before you can apply at the consulate. Ask hiring teams early whether their legal counsel has handled H-1B1 visa LCAs specifically, since some firms only know the standard H-1B visa USCIS pathway.
Benchmark your offer against OFLC wage levels
Run the offered salary through the OFLC Wage Search using your job title and work location before signing. DOL requires the employer to pay at least the prevailing wage, and a Level I wage for a senior hardware role can trigger RFE-equivalent consular scrutiny.
Gather Singapore credential documents early
Consular officers routinely request transcripts, professional certifications, and employment letters to confirm specialty occupation. NUS, NTU, and SUTD degrees are generally recognized, but have English-language certified copies ready rather than digital records alone.
Clarify E-Verify enrollment with your employer
H-1B1 visa holders working at E-Verify-enrolled companies complete I-9 verification on their first day. Confirm your employer's enrollment status during the offer stage, since unenrolled employers in federal contractor roles face compliance issues that can delay your start date.
Frequently Asked Questions
Does a Hardware Engineer role qualify as a specialty occupation for H-1B1 Singapore?
Yes, provided the job description explicitly requires a bachelor's degree or higher in electrical engineering, computer engineering, or a closely related field. Roles where any technical degree satisfies the requirement regardless of field can draw consular scrutiny. The O*NET Hardware Engineer profile classifies this occupation at Job Zone 4, which supports the specialty occupation standard.
How does the H-1B1 Singapore visa differ from H-1B for Hardware Engineers?
The H-1B1 Singapore visa skips both the USCIS petition and the annual lottery that H-1B requires. You apply directly at the U.S. consulate after your employer files a certified LCA with DOL. The 5,400 annual cap has never been exhausted, so timing your application around lottery season isn't a factor. The trade-off is that H-1B1 doesn't confer dual intent, meaning you can't simultaneously pursue a green card without complications.
How do I find employers who have sponsored H-1B1 Singapore visas for Hardware Engineers before?
Migrate Mate surfaces employer LCA filing history filtered specifically for H-1B1 Singapore positions, so you can identify companies that have already navigated the consular process for hardware roles. This matters because employers unfamiliar with H-1B1 sometimes default to H-1B sponsorship timelines or USCIS processes that don't apply, adding delays to your offer stage.
What documents does a Singaporean Hardware Engineer need for the consular interview?
You'll need your certified degree transcripts, a valid Singapore passport, the DS-160 confirmation, your employer's certified LCA, an offer letter specifying your role and salary, and any professional certifications relevant to hardware design or systems engineering. Consular officers may also request a technical job description that maps your duties to your degree field, so prepare that proactively with your employer.
Can a Hardware Engineer on H-1B1 Singapore switch employers without losing status?
Yes, but each employer change requires a new LCA filed and certified by the incoming employer before you begin work. Unlike H-1B portability under AC21, H-1B1 visa doesn't carry automatic bridging protection during the new filing period. Plan a clean transition with your start date contingent on LCA certification rather than assuming continuity of authorization from day one.