Own the outcome
Engineers are responsible for understanding the need, making tradeoffs visible, and delivering to a defined acceptance point. AI can accelerate the work, but it does not own the result.
CareersBuild with AI.
Build with AI.
Own the result.
WIP Studio is a human-led engineering company. Specialized agents support architecture, implementation, review, testing, quality, security, and release, while people remain accountable for the decisions and what ships.
Human ownershipSecure engineeringContinuous learning
Working at WIP Studio
Good judgment, amplified
WIP Studio was founded on June 30, 2020, around a simple idea: emerging technology should strengthen good engineering, not bypass it. We use AI across the delivery lifecycle while keeping people accountable for the decisions and the release.
Use agents deliberately
We give agents bounded tasks, repository context, acceptance criteria, and permissions that fit the work. More agents are useful only when the workflow remains understandable and controlled.
Keep independent checks
Producing, reviewing, testing, assuring quality, and authorizing release remain distinct responsibilities, even when one person covers more than one role on a small engagement.
Design secure defaults
Threats, data boundaries, identity, secrets, dependencies, and failure modes are part of engineering. Security is not a final review added after the system is built.
Write down the decision
Architecture choices, assumptions, review findings, test evidence, and release decisions should be understandable to the next person who has to maintain or approve the work.
Adopt technology with evidence
We evaluate new models, tools, hardware, and methods continuously, then keep the ones that measurably improve security, quality, speed, or clarity.
Disciplines we value
Different strengths, one delivery system
We are interested in people who can contribute depth in a discipline and still work across the boundaries that make software useful, secure, and supportable.
These are disciplines we value, not a statement that every role is open today. Active requirements are described when a defined position is available.
Software engineering
Product-minded engineers who can turn an unclear need into maintainable software and explain the tradeoffs along the way.
Architecture and systems
People who can define boundaries, interfaces, data flows, deployment models, and operational failure modes before implementation outruns the design.
Security engineering
Engineers who can translate risk into practical controls across identity, data, code, infrastructure, dependencies, logging, and release.
Test and quality engineering
People who treat acceptance criteria, regression coverage, reproducibility, and release evidence as part of product delivery rather than cleanup.
Experience and front-end engineering
Designers and engineers who can make complex workflows understandable, accessible, responsive, and efficient for the people doing the work.
Technical delivery and orchestration
People who can decompose work, coordinate human and agent roles, surface risk early, and keep the engagement moving toward a clear endpoint.
Engineering environment
Tools chosen for the work
The environment is designed to support deep technical work while respecting the data, security, and operational boundaries of each engagement.
Local and cloud AI capacity
Our engineering environment includes NVIDIA systems, Apple Silicon, and cloud model access. Workloads are placed according to data boundaries, capability, latency, duration, and risk.
Modern delivery controls
Git-based workflows, controlled branches, preview deployments, automated testing, static analysis, dependency review, and written release evidence are normal parts of the work.
Learning that reaches practice
Team training and credentials span the NVIDIA, Claude, and GitHub ecosystems. We value continued learning, but the measure is how well new knowledge improves delivery.
Work location, citizenship, background screening, clearance, and client-site requirements vary by role and engagement. Any such condition is stated when an opportunity is active.
Introduce yourself
Show us how you think
A strong introduction does more than list technologies. It helps us understand the decisions you have made, how you evaluate quality, and the kind of responsibility you want to own next.
A useful introduction includes
- A resume or LinkedIn profile with the work you actually owned.
- Code, a portfolio, or a sanitized artifact when one is available.
- One example of a tradeoff, review finding, or failure you handled well.
- The problems, technologies, and responsibilities you want to grow into.
We hire deliberately and may not always have an active posting. Thoughtful introductions are still welcome and are reviewed when they align with a real need.
Start a career conversation
Send a concise introduction and the kind of work you want to do. Use “Career conversation” in the subject line.