OPT Infrastructure And Operations Jobs
Infrastructure and Operations roles, covering systems administration, cloud infrastructure, network engineering, and IT support, are among the most actively sponsored positions for F-1 OPT students. Your 12-month OPT window, extendable to 36 months with a STEM extension, aligns well with the multi-year hiring timelines common in enterprise IT environments.
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Responsibilities
Our team develops the core training and serving infrastructure that powers one of the world's largest recommendation systems, enabling billions of personalized recommendations every day. We are also advancing the next generation of AI infrastructure for foundation models and LLMs, driving innovation in large-scale model training, online inference, and GPU optimization. As part of the team, you will work on distributed training and inference systems, high-performance GPU computing, and scalable LLM infrastructure. You'll collaborate closely with experienced engineers and researchers to transform cutting-edge AI technologies into production systems that directly impact the experience of hundreds of millions of TikTok users. This role is ideal for candidates who are passionate about LLM systems, distributed computing, GPU programming, and building AI systems at massive scale. We are looking for passionate talented individuals to join our Model Infrastructure team, building the next generation of infrastructure for TikTok's For You recommendation system and Large Language Models (LLMs). 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.
Online Assessment
Candidates who pass resume screening will be invited to participate in Our Company's technical online assessment.
Responsibilities:
- Build and optimize infrastructure for large-scale model training and online inference.
- Develop distributed systems supporting large recommendation models and LLMs.
- Improve training and inference performance through GPU optimization and efficient communication.
- Collaborate with researchers to develop and deploy LLM training and serving solutions.
- Analyze system bottlenecks and implement performance optimizations.
Qualifications
Minimum Qualifications:
- Individuals who are completing or have recently completed a Bachelor's or Master's degree in Artificial Intelligence, Software Development, Computer Science, Computer Engineering or a related discipline.
- Strong programming skills in C++ or Python.
- Good understanding of data structures, algorithms, and computer systems.
- Familiarity with PyTorch or TensorFlow.
- Knowledge of Transformer architectures and Large Language Models (LLMs).
- Strong problem-solving skills and a passion for building large-scale AI systems.
Preferred Qualifications:
- Hands-on experience with LLM training or inference through research, internships, or open-source projects.
- Familiarity with distributed training concepts (e.g., DP, TP, PP, FSDP, ZeRO).
- Experience with GPU programming using CUDA, Triton, or similar technologies.
- Understanding of LLM serving techniques such as KV Cache, Continuous Batching, or FlashAttention.
- Contributions to open-source projects or research in machine learning systems, distributed systems, or LLM infrastructure.
By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy
Job Information
【For Pay Transparency】Compensation Description (Annually)
The base salary range for this position in the selected city is $128000 - $256000 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 TikTok
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product is 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 bring joy - a mission we work towards every day. 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. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. 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
TikTok 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 TikTok, our mission is to inspire creativity and bring joy. 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.
TikTok Accommodation
TikTok 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
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Get Access To All JobsTips for Finding OPT Sponsorship in Infrastructure And Operations
Target employers with established IT teams
Large enterprises in finance, healthcare, and technology maintain dedicated infrastructure teams and are experienced with OPT and H-1B visa sponsorship. Mid-sized companies with 500-plus employees are more likely to have HR processes set up to handle work authorization paperwork.
Pursue your STEM OPT extension early
Infrastructure and Operations roles under CIP codes like Computer and Information Systems typically qualify for the 24-month STEM extension. File your I-983 training plan with your DSO at least 90 days before your initial OPT expires to avoid any gap in authorization.
Certify before you apply
AWS, Azure, Google Cloud, and CompTIA certifications signal job-ready skills and reduce employer hesitation about sponsoring international candidates. Certified candidates in cloud and systems roles consistently report faster interview progression than those without credentials in this field.
Address your OPT timeline proactively
Bring up your work authorization status before the offer stage, not after. Explain your OPT end date and STEM extension eligibility clearly. Employers appreciate candidates who understand their own visa situation and can explain next steps without requiring HR to research everything from scratch.
Emphasize on-call and operational continuity experience
Hiring managers for infrastructure roles prioritize reliability and institutional knowledge. Highlight any experience maintaining systems uptime, managing incident response, or supporting 24/7 operations. These are hard roles to backfill quickly, which gives OPT candidates more leverage during sponsorship conversations.
Focus applications on cloud-adjacent and DevOps roles
Roles blending infrastructure with software skills, such as Site Reliability Engineering and DevOps, have stronger H-1B sponsorship histories because they satisfy specialty occupation requirements more clearly. A background combining scripting, automation, and infrastructure makes your sponsorship case significantly easier for employers to justify.
Infrastructure And Operations OPT: Frequently Asked Questions
Do Infrastructure and Operations roles qualify for the STEM OPT extension?
Most do, provided your degree falls under an eligible STEM CIP code such as Computer and Information Systems, Information Technology, or Computer Engineering. Your job duties must also align with your degree field. Roles like systems administrator, network engineer, cloud infrastructure engineer, and DevOps engineer typically satisfy both requirements. Confirm your CIP code with your DSO before filing your extension application.
How do I find Infrastructure and Operations employers that sponsor OPT and H-1B visas?
Migrate Mate is built specifically for F-1 OPT students and surfaces Infrastructure and Operations roles from employers with active sponsorship histories. Rather than manually filtering thousands of generic listings, Migrate Mate lets you focus on companies that have already demonstrated willingness to sponsor international candidates in technical roles, saving significant time during a limited OPT window.
Can I work as an IT contractor or through a staffing agency on OPT?
Yes, but with important constraints. Your employment must be directly related to your degree field, and you must work at least 20 hours per week. Third-party placements are permitted, but your actual day-to-day work must constitute practical training in your field of study. Self-employment and volunteer arrangements without pay are generally not approvable. Discuss any contractor arrangement with your DSO before accepting an offer.
What happens to my OPT status if I'm laid off from an infrastructure role?
You have a 90-day aggregate unemployment allowance during your OPT period, reduced to 60 days during the STEM extension. If you lose your job, notify your DSO promptly and begin your search immediately. The 90-day clock runs continuously regardless of whether you're actively searching, so time matters. Re-employment in a qualifying role stops the unemployment count from accumulating further.
Do Infrastructure and Operations roles qualify as specialty occupations for H-1B sponsorship?
It depends on how the role is defined. Generic helpdesk or broad IT support positions have historically faced more scrutiny. Roles requiring a specific bachelor's degree in computer science, information systems, or a related field, such as cloud architects, network engineers, and systems reliability engineers, qualify more reliably. When evaluating a job offer, review whether the position description explicitly requires a relevant degree, not just a preference.