Sr. Systems Engineer

Title: Sr. Systems Engineer
Location: Pleasanton, CA (onsite 5 days per week (9am-6pm - flexible due to the business needs))
Duration: 12 months

Description:
Interview process: 1. phone 2 in-person interview

Position Summary
We are seeking a highly motivated Senior System Engineer to join our End-to-End Solution Integration Chapter supporting Next-Generation Diagnostic Solutions. In this hands-on role, you will support feasibility, development, and integration of complex multidisciplinary systems spanning sample preparation, library preparation, molecular detection technologies (e.g., qPCR, digital PCR, sequencing), and bioinformatics/data processing pipelines.
You will collaborate with assay, software, hardware, and bioinformatics teams to define, integrate, and optimize system-level performance, ensuring technical robustness and operational scalability across diverse technologies.
This role is ideal for a systems-minded engineer with direct industry experience in diagnostic workflows, strong system troubleshooting skills, and a solid engineering background.


Key Responsibilities

• Conduct system integration activities across end-to-end workflows, instruments, software, and data pipelines for next-generation diagnostic solutions.
• Contribute to requirements definition, defect management and system testing.
• Design and execute verification and validation test cases to ensure comprehensive coverage of requirements.
• Analyze test results for accuracy, validity, and relevance to requirements.
• Report issues, troubleshoot, and perform root cause analysis.
• Contribute to system documentation, including requirements, specifications, integration plans, and verification results.
• Identify and lead opportunities for workflow simplification, automation, and continuous improvement.
  

Qualifications

• Bachelor's degree in software engineering, Biomedical Engineering, Systems Engineering, or a related discipline. Advanced degree preferred.
• MIN years of exp: 5+ years of related industry experience.
• Proven instrument and software troubleshooting experience.
• Experience with cloud-based systems is desirable.
• Experience developing in-vitro diagnostic products is desirable.
• Strong analytical and problem-solving skills with the ability to work independently.
• Excellent written and verbal communication skills to influence cross-functional stakeholders.
• Scripting/programming experience (eg, Python, Java) is a plus.

Who You Are
You are a fast learner who thrives at the interface of biology, technology, and data. You want to translate complex scientific workflows into reliable, scalable system solutions. You are collaborative, curious, and driven to make an impact across diverse disciplines, and are comfortable operating as an individual contributor with broad cross-functional influence.