Staff Software Development Engineer (Lab Technology) #4907

The Lab Software team builds and operates the core software systems that make these laboratories possible. We develop the software platform that orchestrates sample processing, provides real-time laboratory visibility, maintains complete sample traceability, and enables laboratory operators to confidently run complex workflows at scale.

Our systems sit at the intersection of software engineering, laboratory automation, and clinical operations. They must be highly reliable, fault tolerant, and compliant with GxP requirements while supporting continuous innovation and increasing laboratory throughput.

We're looking for a Senior or Staff Software Engineer to help shape the next generation of GRAIL's laboratory platform. Leveling will be determined based on experience and demonstrated impact.

This role is based in either in Durham NC or Sunnyvale, California. GRAIL offers a flexible work arrangement, with the ability to work from GRAIL's office or from home. Our current flexible work arrangement policy requires that a minimum of 60%, or 24 hours, of your total work week be on-site. Your specific schedule, determined in collaboration with your manager, will align with team and business needs and could exceed the 60% requirement for the site. At our Sunnyvale and Durham campus, Tuesdays and Thursdays are the key days where we encourage on-site presence to engage in events and on-site activities. You will work with your hiring leader to select the 3rd day in office. We may also consider candidates in the UK as well for this role.

Responsibilities

What You Will Work On

As a Staff Software Engineer, you'll design, build, and operate the software systems that power GRAIL's automated laboratories.

You'll work across services including laboratory workflow orchestration, LIMS, quality decision systems, and laboratory visibility tools that enable operators to safely process patient samples at scale.

The challenges you'll solve extend well beyond traditional backend software development. You'll collaborate closely with laboratory operators, scientists, automation engineers, and software engineers to understand complex laboratory workflows and build systems that remain reliable under real-world operating conditions.

This work requires balancing reliability, scalability, regulatory compliance, and operational simplicity. You'll design software that recovers gracefully from failures, supports 24-hour laboratory operations, improves operator efficiency, and enables the laboratory to continue evolving as new assays and technologies are introduced.

You'll help build resilient distributed systems that interact with physical laboratory equipment, support software-only disaster recovery, and continuously improve the intelligence and efficiency of the laboratory platform.

Most importantly, every improvement you make helps GRAIL process patient samples more reliably, efficiently, and at greater scale.

You Are Someone Who...

Simplifies complex systems

You enjoy breaking down complicated technical and operational problems into elegant, maintainable solutions. You understand that simplicity is often the key to building reliable systems.

Comfortable working across the full stack

You are happy to move between backend and frontend to solve a problem end to end.

Anticipates problems before they happen

You proactively identify technical and operational risks, designing systems that prevent failures instead of simply reacting to them.

Partners across disciplines

You enjoy working with scientists, laboratory operators, automation engineers, and fellow software engineers. You ask thoughtful questions, understand customer needs, and translate them into practical technical solutions.

Thrives in operational environments

You stay calm during production incidents, make sound engineering decisions under pressure, and take pride in building systems that operators can trust.

Accelerates development with AI tools

You routinely use AI-assisted development tools to improve productivity, testing, code quality, and documentation while exercising sound engineering judgment. You view AI as a force multiplier-not a substitute for critical thinking.

Is motivated by our mission

You're excited by the opportunity to build software that directly supports GRAIL's mission of detecting cancer early, when it can be cured. You're looking for a collaborative team where you can continue learning, grow your technical leadership, and make a lasting impact.

Senior vs. Staff

Successful candidates may be hired at either the Senior or Staff level based on experience and demonstrated impact.

Senior engineers lead the design and delivery of significant technical initiatives, mentor teammates, and own critical production systems.

Staff engineers provide technical leadership across multiple systems and teams, shape architectural direction, lead large multi-quarter initiatives, raise engineering standards, and influence how GRAIL's laboratory platform evolves to meet future scientific and operational needs.

If you're excited by building resilient systems that interact with the physical world and want your work to directly contribute to detecting cancer earlier, we'd love to talk with you.

These job duties are a summary of the primary duties and responsibilities of the job and position. It is not intended to be a comprehensive or all-inclusive listing of duties and responsibilities. Contents are subject to change at the company's discretion.

Required Skills

• Strong software engineering fundamentals with experience designing and operating distributed systems.
• Experience building production software using one or more modern programming languages such as Python or Go.
• Experience with modern frontend development using React and TypeScript.
• Experience developing cloud-native applications on AWS.
• Experience building APIs and distributed services using technologies such as REST and/or gRPC.
• Experience with Kubernetes and cloud-native deployment practices.
• Strong understanding of software quality, testing, observability, and operational ownership.
• Excellent communication skills and the ability to collaborate across engineering, science, and laboratory operations.
• Experience with observability tooling (Prometheus/Grafana, structured logging) and on-call ownership.

The ideal candidate combines strong software engineering fundamentals with curiosity about biology, laboratory operations, and solving complex real-world problems.