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Zig Developer Jobs (NOW HIRING)

Career Renew

Blockchain Engineer

San Francisco, CA

$200K - $300K/yr

Career Renew is recruiting for one of its clients a Blockchain Engineer - this is a fully onsite ... Zig, or other low-level languages. * • Deep understanding of consensus protocols (e.g. PBFT ...

Alpaca

Senior Software Engineer - Trading

New York, NY · On-site +1

$134K - $176K/yr

... developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by top ... Coding skills in both low and high level languages around C/C++, Go, Zig, Rust, Java, Scala, Python

Career Renew

Blockchain Engineer

New York, NY

$200K - $300K/yr

Career Renew is recruiting for one of its clients a Blockchain Engineer - this is a fully onsite ... Zig, or other low-level languages. * • Deep understanding of consensus protocols (e.g. PBFT ...

anduril

Senior Mission Data Platform Engineer

Irvine, CA · On-site

$113K - $154K/yr

You will combine deep expertise in cloud infrastructure, DevOps, and modern data systems to create ... C/C++, Rust, Zig, etc. * Experience with setting up and managing infrastructure to support ...

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Full Stack Engineer

San Francisco, CA · On-site

Familiarity with one or more systems languages like Rust, Zig, C/C++, Go, and/or Swift ... Our Tech Stack Talented engineers can pick up new languages and frameworks quickly. Here's what our ...

Alpaca

Senior Software Engineer - Core Trading

New York, NY · On-site +1

$134K - $176K/yr

... developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by top ... Coding skills in both low and high level languages around C/C++, Go, Zig, Rust, Java, Scala, Python

Perfect Path, LLC, d/b/a Trajector Services

$13K - $170K/yr

... Zig, SvelteKit, or Astro-when they are the best tools for the job. * AWS & Serverless Mastery: A ... AI Engineering Chops: Demonstrated experience building with agentic AI and a thorough understanding ...

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Zig Developer information

What are some of the typical projects or tasks a Zig Developer works on?

Zig Developers often work on systems-level programming tasks such as developing operating systems, embedded software, compilers, or performance-critical libraries and applications. A typical day might involve writing and optimizing code in Zig, debugging low-level issues, and interfacing with C libraries or hardware components. You may also participate in open-source contributions, code reviews, and architectural discussions with team members. Collaboration with fellow developers, QA engineers, and sometimes technical writers is common, ensuring software correctness and high performance.

What is a Zig Developer job?

A Zig Developer is a software engineer who specializes in the Zig programming language, a systems programming language designed for performance, safety, and maintainability. They typically work on low-level system components, embedded systems, tooling, or performance-critical applications. Responsibilities often include writing efficient, memory-safe code, contributing to open-source projects, and optimizing existing systems. Strong knowledge of C interoperability, manual memory management, and build system configuration is often required.

What are the key skills and qualifications needed to thrive in the Zig Developer position, and why are they important?

To thrive as a Zig Developer, you need proficiency in the Zig programming language, strong understanding of systems programming, and experience with low-level software concepts like memory management. Familiarity with tools such as Git for version control, Zig's build system, and possibly C or Rust interoperation is common in the role. Attention to detail, problem-solving skills, and clear communication are important soft skills, especially for working in collaborative or open-source environments. Mastering these abilities ensures developers can write efficient, reliable code and effectively contribute to complex software projects.

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Zig Developer jobs near you
Software Engineer II, ML Platform, tvScientific

Software Engineer II, ML Platform, tvScientific

tvScientific

San Francisco, CA • Remote

$114K - $157K/yr

Other

Posted 17 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 ambitious Systems / Platform Engineer to join a team at the intersection of SRE and low-latency distributed systems. This team will help power Pinterest's next generation of realtime ML and measurement infrastructure, with a focus on submillisecond decisioning, highthroughput data access, and tight integration with Pinterest's core tech stack.

In this role, you'll think about queries and RPCs in terms of syscalls, cache lines, and wire formats, and design systems that stay fast and predictable under load. You'll help define and harden the foundation for our training and serving stack: from storage and indexing strategies, to streaming and fanout, to backpressure and failure handling across services and regions. You'll work closely with software engineering, data infra, and SRE partners to ensure our systems are observable, debuggable, and operable in production.

If topics like IO scheduling and batching, lockfree or lowcontention data structures, connection pooling, query planning, kernel and network tuning, ondisk layout and indexing, circuitbreaking, autoscaling, incident response, NixOS, Rust, and robust SLIs/SLOs sound interesting (even if it's just a subset), this role gives you a chance to apply that expertise to businesscritical, highleverage infrastructure at Pinterest scale.

What you'll do:

  • Scale the decision making 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
  • 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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