Remote Data Systems Engineer Jobs
Remote data systems engineer jobs are open across the U.S. in sectors like cloud infrastructure, enterprise software, financial technology, and healthcare technology, where distributed teams depend on engineers to design and maintain large-scale data pipelines and architectures. Companies actively hiring include Olsson, Northbeam, and SAIC, ranging from early-career positions at remote-first technology firms to senior and staff-level roles on established distributed engineering teams. Find a role that fits below and apply directly.
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NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. GPU deep learning ignited the modern AI era, with NVIDIA hardware and software acting as the foundation for the world's most ambitious AI, robotics, and autonomous systems workloads. Today, we are the AI computing company. NVIDIA Data Center Systems, including DGX, HGX, and MGX platforms, deliver the world's leading infrastructure for AI at scale. We are growing our teams with the most thoughtful, creative, and driven people on the planet.
NVIDIA is searching for a highly motivated and creative senior security firmware engineer to join the Data Center Systems Software team and secure the platform: the baseboard management controllers, microcontrollers, and silicon roots of trust the rest of the platform depends on. You will design and deliver the firmware that proves the integrity of NVIDIA's data center systems from the first instruction out of reset through attestation, update, and recovery in production, and set technical direction for work that spans silicon vendors, platform teams, and industry standards bodies.
What you'll be doing:
- Derive security requirements for NVIDIA’s data center platforms from business needs and threat modeling.
- Design and deliver root of trust firmware with features like secure and measured boot, attestation, provisioning of identities and cryptographic material, and secure debug.
- Own features from architecture to code: make the trade-offs explicit, gain agreement across silicon, platform, security architecture, manufacturing, and partner teams, and deliver the implementation.
- Implement industry security standards (eg.: SPDM, TCG DICE). Lead design and code reviews, improve threat modeling, testing, CI, and release practices, and make AI agents a normal part of how the team builds firmware.
What we need to see:
- BS or MS in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent experience.
- 7+ years of software and firmware engineering experience, or equivalent depth, including products built on a hardware root of trust.
- Deep understanding of roof of trust security fundamentals: chains of trust, signing and key management, attestation, and anti-rollback.
- Strong low-level programming skills and a deep understanding of SoC access controls (privilege levels, TrustZone, memory and bus protection).
- Familiarity with server firmware and systems software, plus experience building automation using Python or a comparable language.
- A record of leading technical work across teams without formal authority, including guiding other engineers on a shared deliverable.
- Experience with modern AI and agents, including an AI-forward mindset and proactive adoption of new tools and techniques.
- Excellent written and verbal communication skills, with a strong preference for written communication that creates clarity and institutional memory for a distributed team. Comfortable with ambiguity and complexity; you make sound decisions quickly with incomplete information and course-correct without friction.
Ways to stand out from the crowd:
- Contributions to open-source root of trust projects or to industry security standards.
- Experience building systems with symmetric, asymmetric, and post-quantum cryptography.
- Rust firmware experience, including bringing Rust into an existing C or C++ codebase.
- Secure Manufacturing at scale. Security certifications such as FIPS 140-3. Hardware cryptographic accelerators, secure key storage, trusted execution frameworks such as OP-TEE or Keystone, and OpenBMC.
NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative and autonomous, we want to hear from you!
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 184,000 USD – 287,500 USD.You will also be eligible for equity and benefits .
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.See All 16 Remote Data Systems Engineer Jobs
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Who's Hiring



What Employers Look For
The qualifications that appear most often in remote data systems engineer jobs.
- Bachelor's degree in computer science, information systems, or a related engineering field
- Proficiency in SQL and at least one scripting language such as Python or Scala
- Hands-on experience with cloud data platforms such as AWS, Azure, or Google Cloud
- Experience designing and maintaining ETL or ELT data pipelines at production scale
- Familiarity with distributed data processing frameworks and workflow orchestration tools
- Understanding of data modeling principles, schema design, and data warehousing concepts
Tips for Your Remote Data Systems Engineer Job Search
Apply early to remote roles that fit
Migrate Mate lists remote data systems engineer openings from across the U.S. in one place, so you can find roles that match your stack and seniority and apply directly without sorting through unrelated listings.
Show async documentation skills upfront
Remote data systems engineer teams rely on written technical communication for architecture reviews, pipeline decisions, and incident post-mortems. Include links to design docs, runbooks, or technical writeups in your application materials to signal you can operate in a distributed engineering culture.
Build a public portfolio of working pipelines
Remote hiring managers for data systems engineers rarely meet candidates before making decisions. A GitHub repository with real ETL workflows, data modeling work, or infrastructure-as-code projects gives reviewers something concrete to assess before a single call.
Prepare for async-first remote interviews
Many remote data systems engineer interviews include a take-home system design or pipeline architecture exercise rather than a live whiteboard session. Practice explaining your data architecture decisions clearly in writing, since reviewers often evaluate your written reasoning as much as the technical output itself.
Remote Data Systems Engineer Jobs: Frequently Asked Questions
How do I get a remote data systems engineer job?
Remote data systems engineers land roles by demonstrating they can deliver complex, cross-functional data work without in-person oversight. Remote employers screen heavily for proficiency in distributed data platforms like Apache Kafka, Spark, or cloud-native pipeline tools, alongside strong asynchronous written communication. Candidates who document their architecture decisions, contribute to open-source data tooling, or maintain a public portfolio of pipeline projects stand out in fully remote hiring processes.
Which companies hire remote data systems engineers?
Employers currently hiring remote data systems engineers include Olsson, Northbeam, and SAIC, per current remote listings on Migrate Mate as of November 2026. Remote-first technology companies, cloud infrastructure providers, fintech platforms, and distributed healthcare data firms represent the largest share of remote openings for this role.
Can you get a remote data systems engineer job with no experience?
Yes, but remote entry-level data systems engineer roles are harder to land because employers expect you to troubleshoot and self-direct from day one with minimal hand-holding. Smaller remote-first startups and cloud consulting firms are the most likely to hire early-career candidates. Building a portfolio that shows working data pipelines, real ETL workflows, or infrastructure-as-code projects gives hiring managers something concrete to evaluate in place of professional experience.
Do you need a degree for remote data systems engineer jobs?
Not always. Many remote employers weigh demonstrated technical ability over formal credentials for data systems engineers, particularly at companies that hire based on skills assessments or take-home projects. Proficiency with tools like dbt, Airflow, Spark, or cloud data platforms such as AWS Glue or Google Dataflow, backed by a portfolio of real work, can substitute for a computer science or engineering degree at a meaningful number of remote-first employers.
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