As a Software Engineer at Complete Genomics, your daily responsibilities will span the entire software development lifecycle, from initial hardware integration to customer-facing software support.

You will spend a significant portion of your time architecting and developing real-time control software for next-generation DNA sequencers and automated sample preparation instruments. This involves writing robust C#/.NET and C++ code to manage complex hardware subsystems, coordinate fluidic movements, control thermal environments, and execute high-speed optical imaging.

Collaboration is a daily requirement. You will work closely with molecular biologists, systems engineers, and chemical specialists to translate scientific protocols into automated software routines. You will also develop and maintain internal tools used by manufacturing and quality control teams to calibrate, test, and validate instruments before they are shipped to customers.

Additionally, you will be responsible for diagnostic troubleshooting. When instruments encounter errors in the field or during internal testing, you will analyze logs, recreate failure states, and implement reliable software fixes. To ensure long-term stability, you will build automated test suites, participate in peer code reviews, and contribute to continuous integration (CI) pipelines.

To be competitive for the Software Engineer position at Complete Genomics, you must present a strong combination of systems programming experience and collaborative skills.

Technical Skills

• Core Languages – Strong proficiency in C#/.NET is highly required, alongside solid experience in C++ or Java for low-level or multithreaded programming.
• Systems & Hardware – Practical experience developing software for complex control systems, data acquisition systems, or robotic instrumentation.
• Modern Workflows – Mastery of Git, code review processes, and continuous integration (CI) systems.
• Tooling – Familiarity with task management and documentation systems like JIRA and Confluence.
• Scripting – Working knowledge of Python for data analysis, scientific computing, or automated testing environments.

Experience & Education

• Professional Experience – Typically 3 to 5 years of commercial software development experience, particularly in Windows-based environments.
• Education – A Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a highly related technical field. An advanced degree (Master's or PhD) is considered a strong plus.
• Nice-to-Have Skills – Background knowledge in bioinformatics, signal processing, image processing, statistical methods, or GPU optimization (CUDA).

Q: How much biology or bioinformatics knowledge do I need to apply? A: While familiarity with genomic sequencing or bioinformatics is a plus, it is not a strict requirement. The hiring team is primarily looking for exceptional software engineering, systems design, and hardware control skills. You will collaborate with domain experts who will help guide the scientific requirements.

Q: Where is the position located, and what is the work model? A: The role is located in San Jose, CA, and operates on an on-site work model. Because the position involves direct integration, testing, and troubleshooting with physical DNA sequencing hardware, being physically present in the lab and office environment is essential.

Q: What is the typical difficulty level of the interview process? A: Candidates generally rate the interview difficulty as average. The technical questions focus on practical engineering concepts, resume verification, and system design rather than highly abstract, algorithmic brain teasers.

Q: How long does the interview process take from start to finish? A: The timeline can vary depending on scheduling and team availability. It typically spans 3 to 6 weeks from the initial HR screen to the final offer stage. Be prepared for a comprehensive onsite loop that involves meeting multiple members of the engineering and management teams.

To maximize your chances of success during the Complete Genomics interview process, keep these practical tips in mind:

• Master Your Resume Details: Every interviewer you meet will likely have read your resume closely. Be prepared to explain the "why" behind every technology choice, architectural decision, and project challenge listed on your application.
• Emphasize Hardware-Software Interaction: Whenever you discuss your software engineering experience, highlight how your code interacted with physical systems, managed memory, or handled real-time constraints.
• Prepare for Cross-Disciplinary Questions: Practice explaining complex technical concepts using analogies that a non-software stakeholder (like a biologist or laboratory technician) can easily understand.
• Verify Logistics Early: Ensure you confirm all interview details, platform links (such as MS Teams), and travel reimbursement policies in writing with your coordinator well in advance of your sessions.

Securing a Software Engineer position at Complete Genomics offers a rewarding opportunity to work at the leading edge of biotechnology. By developing software that directly controls advanced DNA sequencing instruments, you will play a pivotal role in driving scientific discovery and healthcare innovation.

To prepare effectively, focus your energy on mastering real-time systems programming, refining your understanding of software architecture and design patterns, and practicing how you communicate your technical expertise to cross-functional teams. Review your past projects thoroughly so you can discuss them with confidence and precision during the intensive onsite loop.

The salary range shown above represents the base compensation for this role in San Jose, CA. When evaluating an offer, remember to consider the complete package, which includes an annual bonus plan, comprehensive medical benefits, a 401(k) retirement plan, and generous paid time off.

For more detailed interview experiences, company insights, and preparation resources, you can explore additional candidate reviews and guides on Dataford. With focused preparation and a clear understanding of how your software skills interface with physical systems, you are well-positioned to succeed in your upcoming interviews. Good luck!