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Remote Zig Developer Jobs (NOW HIRING)

MatX

Software Engineer - Kernels

Mountain View, CA · On-site +1

$175K - $400K/yr

Language: at least one of assembly, C++, C, Zig, or Rust * This is a hybrid role that will require ... Remote Perks We work remotely Monday & Friday, supported by home-tech setup, and remote wifi ...

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Remote Zig Developer information

What are the key skills and qualifications needed to thrive as a Remote Zig Developer, and why are they important?

To thrive as a Remote Zig Developer, you need a solid understanding of the Zig programming language, systems programming concepts, and experience with cross-platform software development. Familiarity with version control systems like Git, build tools, and continuous integration platforms is typically required, while contributions to open-source Zig projects or relevant certifications can be beneficial. Strong self-motivation, clear communication, and problem-solving abilities are vital soft skills for collaborating effectively within distributed teams. These competencies are crucial for delivering high-quality, efficient code and ensuring seamless teamwork in a remote work environment.

What are some common challenges faced by remote Zig Developers, and how can they be managed effectively?

Remote Zig Developers often encounter challenges such as limited access to in-person mentorship and navigating communication across distributed teams. Additionally, since Zig is an emerging language, resources and community support may be less robust compared to more established ecosystems. To manage these challenges, it’s important to leverage online forums, actively participate in open-source communities, and establish clear communication channels with colleagues. Regular check-ins, detailed documentation, and collaborative code reviews can also help foster teamwork and ensure alignment on project goals.

What are Remote Zig Developers?

Remote Zig Developers are software engineers who specialize in programming with the Zig language while working from locations outside of a traditional office. They design, develop, and maintain software using Zig, which is known for its performance, safety, and simplicity. These developers often collaborate with distributed teams, contribute to open-source projects, or build system-level applications. Their work can range from writing compiler tools and operating systems to optimizing performance-critical code, all while leveraging remote work flexibility.

What is the difference between Remote Zig Developer vs Embedded Systems Developer?

AspectRemote Zig DeveloperEmbedded Systems Developer
Required CredentialsProficiency in Zig programming language, coding skills, possibly some certifications in embedded or systems programmingKnowledge of embedded systems, C/C++ skills, certifications in embedded development or electronics
Work EnvironmentRemote, primarily software-focused, collaborative tools for remote teamsOften on-site or hybrid, hardware-involved, may require lab access
Industry UsageTech companies, startups, IoT projects using Zig for performance and safetyElectronics, automotive, aerospace, and industrial sectors
Common Search/ComparisonRemote Zig Developer vs Embedded Systems Developer

The main difference lies in the focus: Remote Zig Developers specialize in programming with Zig, often in software or IoT projects, while Embedded Systems Developers work with hardware and low-level programming, frequently in embedded environments. Both roles require technical skills but differ in environment and application.

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Remote Zig Developer jobs near you
Infographic showing various Remote Zig Developer job openings in the United States as of May 2026, with employment types broken down into 2% Locum Tenens, 4% Internship, 4% As Needed, 6% Temporary, 83% Contract, and 1% Nights. Highlights an 73% Physical, and 27% Remote job distribution.
Sr. Software Engineer, ML Platform, tvScientific

Sr. Software Engineer, ML Platform, tvScientific

tvScientific

San Francisco, CA • Remote

$144.30K - $190.30K/yr

Other

Posted 24 days ago

Job description

About tvScientific

tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.

We are looking for an experienced ML Platform Engineer to join a team at the intersection of sysops, systems programming, architecture, and large-scale deployments. Our platform underpins tvScientific's distributed real-time bidding agent and ML training system that together drive $100M+ in annual revenue, giving you the opportunity to work on some of the most business-critical infrastructure in the company.

As part of our team, you'll think about datasets in terms of bytes, microseconds, and serialization formats, and help define the next generation of our training and serving stack. A flagship initiative for the coming year is building a Kubernetes + Ray backend for our model training pipelines, setting a new bar for scale and reliability. If topics like data locality, observability and anomaly detection, distributed databases, high-performance computing, array programming languages, data security, and reproducibility excite you (even if it's just a subset), your expertise could play a key role in shaping tvScientific's ML innovation in 2026 and beyond.

What You'll Do

  • Scale the decisionmaking process for tools for the tvScientific AI team, from our workflows to our training infrastructure to our Kubernetes deployments
  • Improve the developer experience for the data science team
  • Upgrade our observability tooling
  • Serve as a technical lead and mentor to the team
  • Make every deployment smooth as our infrastructure evolves.

What We're Looking For

  • Deep understanding of Linux
  • Excellent writing skills
  • A systems-oriented mindset
  • Experience in high-performance software (RTB, HFT, etc.)
  • Software engineering experience + reliability (e.g. CI/CD) expertise
  • Strong observability instincts
  • Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs
  • Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review)
  • High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables
  • Nice-To-Haves
    • Reverse-engineering experience
    • Terraform, EKS, or MLOps experience
    • Python, Scala, or Zig experience
    • NixOS experience
    • Adtech or CTV experience
    • Experience deploying a distributed system across multiple clouds
    • Experience in hard real-time low-latency (<10 ms) environments

In-Office Requirement Statement:

  • We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.


Relocation Statement:

  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

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