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Remote Zig Programming Jobs (NOW HIRING)

MatX

Software Engineer - Kernels

Mountain View, CA · On-site +1

$175K - $400K/yr

... or GPU/CUDA programming * Language: at least one of assembly, C++, C, Zig, or Rust * This is a ... Remote Perks We work remotely Monday & Friday, supported by home-tech setup, and remote wifi ...

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$25K

$88.9K

$149K

How much do remote zig programming jobs pay per year?

As of May 30, 2026, the average yearly pay for remote zig programming in the United States is $88,946.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $116,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Zig Programmer, you need a solid understanding of systems programming, data structures, algorithms, and proficiency in the Zig language, generally supported by a degree in computer science or equivalent experience. Familiarity with version control systems like Git, build automation tools, and CI/CD pipelines is typically required. Strong problem-solving skills, self-motivation, and clear written communication are essential soft skills for remote collaboration and troubleshooting. These abilities ensure the development of efficient, reliable software and effective teamwork across distributed environments.

What are some common challenges faced by remote Zig programmers, and how can they overcome them?

Remote Zig programmers often encounter challenges related to collaborating with distributed teams, especially when working on low-level system components that require deep understanding and clear communication. Due to Zig's evolving ecosystem, documentation and community support may be less extensive compared to more established languages, making self-guided learning and proactive problem-solving essential. To overcome these challenges, remote Zig programmers should leverage online forums, participate in open-source projects, and maintain regular communication with their team through code reviews and virtual meetings. Building a strong network with other Zig developers can also provide valuable support and resources.

What is a Remote Zig Programmer?

A Remote Zig Programmer is a software developer who specializes in using the Zig programming language while working from a remote location. Zig is a relatively new systems programming language known for its simplicity, performance, and focus on safety. Remote Zig Programmers typically design, develop, and maintain applications or systems software, often collaborating with distributed teams online. Their work may include contributing to open-source projects, building embedded systems, or optimizing performance-critical codebases. The remote aspect allows for flexibility in location, enabling professionals to work from anywhere with internet access.

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

AspectRemote Zig ProgrammingRemote Embedded Systems Developer
Required SkillsProficiency in Zig language, low-level programming, hardware interfacingProficiency in C/C++, embedded systems, hardware integration
Work EnvironmentPrimarily software development, hardware interaction, real-time systemsEmbedded device programming, firmware development, hardware testing
Industry UsageIoT, firmware, hardware startups, low-level software projectsConsumer electronics, automotive, medical devices, industrial automation

Remote Zig Programming focuses on developing software using the Zig language, often for low-level hardware interaction. In contrast, Remote Embedded Systems Developers work with various languages like C or C++ to create firmware for embedded devices. Both roles require understanding hardware, but Zig programming emphasizes modern language features, while embedded development often involves traditional languages and hardware testing.

More about Remote Zig Programming jobs
What cities are hiring for Remote Zig Programming jobs? Cities with the most Remote Zig Programming job openings:
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What states have the most Remote Zig Programming jobs? States with the most job openings for Remote Zig Programming jobs include:
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Remote Zig Programming jobs near you
Infographic showing various Remote Zig Programming job openings in the United States as of May 2026, with employment types broken down into 79% Part Time, and 21% Contract. Highlights an 100% Physical job distribution, with an average salary of $88,946 per year, or $42.8 per hour.
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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