STEM OPT Infrastructure Engineer Jobs
Infrastructure Engineer roles in cloud platforms, network architecture, and systems reliability qualify for the 24-month STEM OPT extension if your degree falls under an eligible CIP code. Employers must be enrolled in E-Verify and sign your I-983 training plan, making employer selection as important as the job offer itself.
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Get Access To All JobsLocation:
San Jose
Team:
Infrastructure
Employment Type:
Regular
Job Code:
A05264
Responsibilities
The Global Server Delivery team builds and scales the physical infrastructure that powers the next generation of AI. Every year, we deploy gigawatts (GW) of compute capacity across global data centers, delivering thousands of CPU and GPU servers to support large-scale AI and cloud services.
Our team owns the end-to-end delivery lifecycle, including new platform introduction, infrastructure planning, power and cooling optimization, deployment execution, and operational readiness. We focus on maximizing power utilization, improving delivery efficiency, and ensuring the highest standards of quality and reliability.
By combining engineering expertise with AI-driven analytics and automation, we continuously optimize infrastructure planning and operations at global scale.
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.
You will work at the intersection of AI infrastructure, large-scale server deployment, data center engineering, and intelligent operations. This role offers the opportunity to participate in the deployment of next-generation AI/GPU clusters that power large-scale cloud and AI services.
Rather than focusing on a single discipline, you will collaborate with hardware, networking, facilities, supply chain, software, and operations teams to deliver thousands of servers into production efficiently and reliably.
As AI becomes an essential engineering tool, you will also leverage AI technologies to automate planning, perform large-scale data analysis, generate operational insights, and improve engineering productivity.
Key Responsibilities
- AI Infrastructure Delivery: Participate in the deployment of next-generation CPU and GPU server platforms. Learn server architecture, hardware components, power characteristics, and deployment requirements. Support new platform introduction (NPI), system compatibility validation, and deployment readiness. Assist in large-scale server rollout projects across global data centers.
- Capacity Planning & Engineering Analysis: Analyze server power consumption, rack capacity, cooling requirements, and infrastructure utilization. Support capacity planning for data centers based on electrical and thermal constraints. Build analytical models to optimize rack layouts, deployment efficiency, and resource utilization. Identify operational risks and recommend engineering improvements.
- Project & Operations Management: Coordinate cross-functional teams including engineering, supply chain, facilities, vendors, and operations. Track project schedules, deployment milestones, and delivery quality. Manage deployment readiness, installation progress, and engineering documentation. Support material planning and accessory management for large-scale deployments.
- AI-driven Engineering: Apply AI tools to improve engineering workflows. Use AI to automate data processing, reporting, documentation, and root cause analysis. Analyze millions of operational records to identify trends, anomalies, and optimization opportunities. Explore AI-assisted capacity forecasting, deployment planning, and intelligent operations.
Qualifications
Minimum Qualifications
- Individuals who are completing or have recently completed a Bachelor's or Master's degree in Computer Science, a similar technical field of study, or equivalent practical experience.
- Strong analytical and problem-solving skills.
- Curious mindset with willingness to learn complex systems.
- Good communication and teamwork skills.
- Comfortable working with data and solving engineering problems.
Preferred Qualifications
Experience in one or more of the following is a plus:
- Python, SQL, or scripting languages
- Excel data analysis and visualization
- AI tools
- Data center infrastructure
- Server hardware
- Cloud computing
Job Information
【For Pay Transparency】Compensation Description (Annually)
The base salary range for this position in the selected city is $76000 - $128000 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:
Infrastructure
Employment Type:
Regular
Job Code:
A05264
Responsibilities
The Global Server Delivery team builds and scales the physical infrastructure that powers the next generation of AI. Every year, we deploy gigawatts (GW) of compute capacity across global data centers, delivering thousands of CPU and GPU servers to support large-scale AI and cloud services.
Our team owns the end-to-end delivery lifecycle, including new platform introduction, infrastructure planning, power and cooling optimization, deployment execution, and operational readiness. We focus on maximizing power utilization, improving delivery efficiency, and ensuring the highest standards of quality and reliability.
By combining engineering expertise with AI-driven analytics and automation, we continuously optimize infrastructure planning and operations at global scale.
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.
You will work at the intersection of AI infrastructure, large-scale server deployment, data center engineering, and intelligent operations. This role offers the opportunity to participate in the deployment of next-generation AI/GPU clusters that power large-scale cloud and AI services.
Rather than focusing on a single discipline, you will collaborate with hardware, networking, facilities, supply chain, software, and operations teams to deliver thousands of servers into production efficiently and reliably.
As AI becomes an essential engineering tool, you will also leverage AI technologies to automate planning, perform large-scale data analysis, generate operational insights, and improve engineering productivity.
Key Responsibilities
- AI Infrastructure Delivery: Participate in the deployment of next-generation CPU and GPU server platforms. Learn server architecture, hardware components, power characteristics, and deployment requirements. Support new platform introduction (NPI), system compatibility validation, and deployment readiness. Assist in large-scale server rollout projects across global data centers.
- Capacity Planning & Engineering Analysis: Analyze server power consumption, rack capacity, cooling requirements, and infrastructure utilization. Support capacity planning for data centers based on electrical and thermal constraints. Build analytical models to optimize rack layouts, deployment efficiency, and resource utilization. Identify operational risks and recommend engineering improvements.
- Project & Operations Management: Coordinate cross-functional teams including engineering, supply chain, facilities, vendors, and operations. Track project schedules, deployment milestones, and delivery quality. Manage deployment readiness, installation progress, and engineering documentation. Support material planning and accessory management for large-scale deployments.
- AI-driven Engineering: Apply AI tools to improve engineering workflows. Use AI to automate data processing, reporting, documentation, and root cause analysis. Analyze millions of operational records to identify trends, anomalies, and optimization opportunities. Explore AI-assisted capacity forecasting, deployment planning, and intelligent operations.
Qualifications
Minimum Qualifications
- Individuals who are completing or have recently completed a Bachelor's or Master's degree in Computer Science, a similar technical field of study, or equivalent practical experience.
- Strong analytical and problem-solving skills.
- Curious mindset with willingness to learn complex systems.
- Good communication and teamwork skills.
- Comfortable working with data and solving engineering problems.
Preferred Qualifications
Experience in one or more of the following is a plus:
- Python, SQL, or scripting languages
- Excel data analysis and visualization
- AI tools
- Data center infrastructure
- Server hardware
- Cloud computing
Job Information
【For Pay Transparency】Compensation Description (Annually)
The base salary range for this position in the selected city is $76000 - $128000 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 477+ STEM OPT Infrastructure Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new STEM OPT Infrastructure Engineer Jobs.
Get Access To All JobsTips for Finding STEM OPT Authorization as an Infrastructure Engineer
Verify your degree's CIP code eligibility
Check whether your computer science, electrical engineering, or information systems degree maps to an approved STEM CIP code on the official DHS STEM Designated Degree Program List. Mismatches between your transcript and the list are the most common reason STEM OPT extension applications get rejected.
Confirm E-Verify enrollment before accepting offers
Ask your recruiter for the company's E-Verify employer ID or verify enrollment directly through the E-Verify employer search. Many infrastructure teams at staffing agencies or smaller managed-service providers aren't enrolled, which disqualifies them from supervising your STEM OPT training.
Align your I-983 training goals to infrastructure competencies
Your I-983 training plan must list specific learning objectives tied to your STEM degree. For infrastructure roles, map goals to systems design, network security protocols, or cloud architecture frameworks so your DSO can certify the plan without revision requests.
Target employers with active H-1B petition histories
Infrastructure engineers on STEM OPT typically need H-1B visa sponsorship before their 36 months expire. Use Migrate Mate to filter employers by verified DOL Labor Condition Application filings for infrastructure and systems roles, showing which companies have sponsored similar positions.
File your STEM OPT extension 90 days before OPT ends
USCIS requires you to apply within the 90-day window before your initial OPT expires. Late applications void cap-gap protection, which means a gap in work authorization if your H-1B is pending during the October 1 start date transition.
Use OFLC Wage Search to benchmark infrastructure role wages
Your employer's offered salary must meet the DOL prevailing wage for your infrastructure job title and work location. Run the OFLC Wage Search using the relevant SOC code before signing an offer to confirm the compensation qualifies and won't trigger a wage violation on your I-983.
Frequently Asked Questions
Does an Infrastructure Engineer role qualify for the STEM OPT extension?
It depends on your degree, not just the job title. Infrastructure Engineer positions qualify if your employer can connect the role to a STEM degree on the DHS designated list, such as computer science, electrical engineering, or information technology. Your I-983 training plan must document how the day-to-day work, whether managing cloud infrastructure, configuring networks, or building CI/CD pipelines, directly applies the technical knowledge from your degree field.
What happens to my STEM OPT if my employer loses E-Verify enrollment?
Your work authorization becomes invalid if your employer's E-Verify enrollment lapses or is terminated. E-Verify enrollment is a continuous requirement, not a one-time checkbox at hiring. If your employer loses enrollment mid-employment, you must stop working and either find a new E-Verify-enrolled employer or risk falling out of status. Check your employer's enrollment status periodically through the E-Verify employer search and notify your DSO immediately if enrollment changes.
How does cap-gap work if I'm on STEM OPT when my H-1B is selected?
Cap-gap automatically extends your STEM OPT work authorization from April 1 through September 30 if your H-1B petition is filed before your STEM OPT expires and you're selected in the lottery. Your employment authorization document isn't reissued; your original EAD combined with your H-1B receipt notice serves as proof. Infrastructure roles at large tech employers often process H-1B cap-gap situations routinely, but confirm your HR team understands which documents are required.
What should my I-983 training plan include for an Infrastructure Engineer position?
Your I-983 must identify specific technical skills you'll develop that connect directly to your STEM degree. For infrastructure roles, list objectives such as designing fault-tolerant network architectures, implementing infrastructure-as-code using tools like Terraform, or managing Kubernetes clusters for containerized workloads. Vague goals like 'gain industry experience' are routinely flagged by DSOs. Your supervisor must co-sign the plan and participate in evaluations every six months, confirming you're progressing against the documented learning objectives.
How do I find Infrastructure Engineer employers who are already set up for STEM OPT students?
Search Migrate Mate to filter infrastructure roles by employers with verified E-Verify enrollment and active DOL Labor Condition Application filing histories. Employers who have previously sponsored infrastructure engineers through OPT and into H-1B status already understand the I-983 co-signing process, the six-month evaluation requirement, and the E-Verify reporting obligations, which significantly reduces onboarding friction compared to employers encountering STEM OPT requirements for the first time.