Cloud Data Engineer Jobs at ByteDance with Visa Sponsorship
ByteDance hires Cloud Data Engineers to build and scale the infrastructure powering its global platforms. The company has a consistent track record of sponsoring work visas across multiple categories for engineering talent, making it a realistic target if you're pursuing U.S. work authorization in data and cloud infrastructure roles.
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Location:
San Jose
Team:
Technology
Employment Type:
Regular
Job Code:
A243679
About the Team
Join ByteDance’s AI Agent Memory Infrastructure team, where we build the core memory systems that power next-generation intelligent agents. Our focus is on creating a unified platform for long-term, conversational, and task-oriented memory, enabling more personalized and context-aware AI experiences.
We design and operate large-scale, low-latency, and highly reliable memory infrastructure, covering the full lifecycle from storage and retrieval to updating and optimization. Working at the intersection of LLMs, data systems, and context engineering, we tackle challenges in memory representation, retrieval, and multimodal fusion.
Partnering closely with model and product teams, we turn advanced research into scalable production systems that support a wide range of AI-driven applications.
Responsibilities
- Design, build, and evolve the next-generation memory infrastructure for AI agents, developing a unified platform that supports long-term memory, conversational memory, and task-oriented memory.
- Architect and optimize memory system pipelines for large-scale, low-latency, and high-availability environments, including data ingestion, storage, indexing, retrieval, updating, compression, and forgetting mechanisms to support real-time inference and personalized interactions.
- Explore key challenges at the intersection of large language models, context engineering, and data management, including memory representation, retrieval and ranking, conflict resolution, summarization and fusion, and memory lifecycle management.
- Design unified memory models and processing workflows for multimodal data (text, image, audio, behavioral signals), enhancing agents’ long-term consistency, personalization, and task completion in complex scenarios.
- Collaborate closely with model, application, and platform teams to productionize memory capabilities, and continuously optimize system performance across quality, latency, cost, reliability, and safety.
- Stay up-to-date with cutting-edge advancements and contribute to the long-term technical roadmap of AI agent memory systems, driving innovation and capability evolution.
MINIMUM QUALIFICATIONS
- Bachelor’s degree or higher in Computer Science, Artificial Intelligence, Data Science, or related fields.
- Strong experience in distributed systems, databases, information retrieval systems, or AI infrastructure, with proven system design and production engineering capabilities.
- Proficient in at least one programming language such as Go, Python, or C++, with strong coding standards and engineering best practices.
- Solid understanding of core technologies in LLM applications, including but not limited to embeddings, retrieval-augmented generation (RAG), context engineering, retrieval systems, and long-term state management.
- Familiarity with one or more key areas in memory systems: memory extraction and representation, vector/graph indexing, retrieval and ranking, memory updating, compression and forgetting, multimodal memory fusion.
PREFERRED QUALIFICATIONS
- Experience in agent memory systems, user profiling, recommendation/search feature platforms, or knowledge base systems.
- Contributions to or deep understanding of open-source memory frameworks such as mem0, memOS, memU, or similar solutions.
- Strong track record in databases, information retrieval, machine learning, or AI systems, including publications, impactful open-source work, or notable technical achievements.
- Experience in multimodal data processing, online inference systems, personalized agents, or long-term user state modeling.
- Ability to analyze and optimize trade-offs across system performance, latency, cost, and scalability from both system and algorithm perspectives; experience with complex production systems is highly preferred.
Job Information
【For Pay Transparency】Compensation Description (Annually)
The base salary range for this position in the selected city is $244800 - $588000 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:
A243679
About the Team
Join ByteDance’s AI Agent Memory Infrastructure team, where we build the core memory systems that power next-generation intelligent agents. Our focus is on creating a unified platform for long-term, conversational, and task-oriented memory, enabling more personalized and context-aware AI experiences.
We design and operate large-scale, low-latency, and highly reliable memory infrastructure, covering the full lifecycle from storage and retrieval to updating and optimization. Working at the intersection of LLMs, data systems, and context engineering, we tackle challenges in memory representation, retrieval, and multimodal fusion.
Partnering closely with model and product teams, we turn advanced research into scalable production systems that support a wide range of AI-driven applications.
Responsibilities
- Design, build, and evolve the next-generation memory infrastructure for AI agents, developing a unified platform that supports long-term memory, conversational memory, and task-oriented memory.
- Architect and optimize memory system pipelines for large-scale, low-latency, and high-availability environments, including data ingestion, storage, indexing, retrieval, updating, compression, and forgetting mechanisms to support real-time inference and personalized interactions.
- Explore key challenges at the intersection of large language models, context engineering, and data management, including memory representation, retrieval and ranking, conflict resolution, summarization and fusion, and memory lifecycle management.
- Design unified memory models and processing workflows for multimodal data (text, image, audio, behavioral signals), enhancing agents’ long-term consistency, personalization, and task completion in complex scenarios.
- Collaborate closely with model, application, and platform teams to productionize memory capabilities, and continuously optimize system performance across quality, latency, cost, reliability, and safety.
- Stay up-to-date with cutting-edge advancements and contribute to the long-term technical roadmap of AI agent memory systems, driving innovation and capability evolution.
MINIMUM QUALIFICATIONS
- Bachelor’s degree or higher in Computer Science, Artificial Intelligence, Data Science, or related fields.
- Strong experience in distributed systems, databases, information retrieval systems, or AI infrastructure, with proven system design and production engineering capabilities.
- Proficient in at least one programming language such as Go, Python, or C++, with strong coding standards and engineering best practices.
- Solid understanding of core technologies in LLM applications, including but not limited to embeddings, retrieval-augmented generation (RAG), context engineering, retrieval systems, and long-term state management.
- Familiarity with one or more key areas in memory systems: memory extraction and representation, vector/graph indexing, retrieval and ranking, memory updating, compression and forgetting, multimodal memory fusion.
PREFERRED QUALIFICATIONS
- Experience in agent memory systems, user profiling, recommendation/search feature platforms, or knowledge base systems.
- Contributions to or deep understanding of open-source memory frameworks such as mem0, memOS, memU, or similar solutions.
- Strong track record in databases, information retrieval, machine learning, or AI systems, including publications, impactful open-source work, or notable technical achievements.
- Experience in multimodal data processing, online inference systems, personalized agents, or long-term user state modeling.
- Ability to analyze and optimize trade-offs across system performance, latency, cost, and scalability from both system and algorithm perspectives; experience with complex production systems is highly preferred.
Job Information
【For Pay Transparency】Compensation Description (Annually)
The base salary range for this position in the selected city is $244800 - $588000 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 31+ Cloud Data Engineer at ByteDance jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Cloud Data Engineer at ByteDance roles.
Get Access To All JobsTips for Finding Cloud Data Engineer Jobs at ByteDance Jobs
Align your portfolio to ByteDance's stack
ByteDance's Cloud Data Engineer roles frequently involve large-scale distributed systems, real-time data pipelines, and cloud-native infrastructure. Tailor your portfolio to show hands-on experience with those specific areas before applying, not general cloud work.
Confirm your visa category early
ByteDance sponsors H-1B, H-1B1, E-3, and Green Card pathways for this role. Knowing which category applies to you before your first interview lets you answer sponsorship questions confidently and avoid wasted time on roles filed under a category you don't qualify for.
Prepare for specialty occupation documentation
USCIS scrutinizes H-1B petitions for Cloud Data Engineer roles when the job description is broad. Request that your offer letter ties the role explicitly to a specific field of study, such as computer science or data engineering, to support the specialty occupation requirement.
Target teams with active infrastructure build-outs
ByteDance's data infrastructure and cloud platform teams tend to hire in clusters when scaling new products or regions. Focusing your outreach on these teams, rather than applying broadly, increases your chance of landing a role before headcount closes.
Track your H-1B timeline against ByteDance's filing calendar
If you need H-1B sponsorship, your start date must align with the October 1 cap-year cycle. Confirm with your recruiter early whether ByteDance will file in April's lottery window, since missing that window delays your start by a full year.
Use Migrate Mate to find open roles efficiently
Cloud Data Engineer openings at ByteDance move quickly and are scattered across teams. Use Migrate Mate to filter ByteDance's active listings by visa sponsorship type so you're only reviewing roles the company is actively filing for.
Cloud Data Engineer at ByteDance jobs are hiring across the US. Find yours.
Find Cloud Data Engineer at ByteDance JobsFrequently Asked Questions
Does ByteDance sponsor H-1B visas for Cloud Data Engineers?
Yes, ByteDance sponsors H-1B visas for Cloud Data Engineer roles. The company participates in the annual H-1B cap lottery each April, with an October 1 start date for selected candidates. If you're on OPT or another status, confirm your timeline with the recruiter early so your authorization doesn't lapse while the petition is pending with USCIS.
How do I apply for Cloud Data Engineer jobs at ByteDance?
Apply directly through ByteDance's careers portal. Cloud Data Engineer roles typically require a technical screen followed by multiple rounds covering system design, data modeling, and distributed systems. You can also use Migrate Mate to browse ByteDance's current Cloud Data Engineer openings filtered by visa sponsorship type, which helps you identify active roles before they close.
Which visa types does ByteDance commonly sponsor for Cloud Data Engineer roles?
ByteDance sponsors H-1B, H-1B1, and E-3 visas for Cloud Data Engineer positions, along with employment-based Green Card pathways including EB-2 and EB-3. Australian citizens can pursue the E-3, which has no lottery. H-1B1 covers Chilean and Singaporean nationals. The Green Card process typically involves PERM labor certification filed through the DOL before USCIS adjudicates the immigrant petition.
What qualifications does ByteDance expect for Cloud Data Engineer roles?
Most Cloud Data Engineer postings at ByteDance require a bachelor's degree or higher in computer science, data engineering, or a closely related field. Beyond the degree, ByteDance emphasizes experience with large-scale distributed systems, cloud platforms such as AWS, GCP, or Azure, and real-time data processing frameworks. Depth in one area, such as pipeline architecture or query optimization, tends to differentiate candidates at the technical interview stage.
How do I navigate the timing between a ByteDance offer and my visa filing?
If your offer requires H-1B sponsorship, ByteDance must file your petition during the April lottery window for an October 1 start. That means your offer, LCA certification through DOL, and petition documents all need to be ready before early April. If you're currently on OPT with an expiring EAD, confirm whether your gap period falls within the 60-day grace period so you remain in valid status while USCIS processes the petition.
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