Sr Software Test Engineer at Illumina

San Diego, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Genomics, Biotechnology, HealthcareIndustries

Requirements

Typically requires a minimum of 5 years of related experience with a Bachelor’s degree; or 3 years and a Master’s degree; or a PhD without experience; or equivalent work experience
5+ years operating, testing, and supporting SW for mechanical instrumentation
5+ years experience working in Software Quality Assurance or other areas of the SDLC to test Windows-based GUI systems
Experience with Microsoft Office, Visual Studio, Team Foundation Server, Agile (Scrum)
Experience working on multiple projects simultaneously
Understanding of Molecular Biology, Bioinformatics, or related field of biology
Familiarity with Gene Expression, Genotyping, Sequencing, Microarrays, and/or LIMS
Understanding of Mechanical Engineering
Possess proven troubleshooting skills
Be curious, detail oriented, and analytical, with a proven ability to learn quickly
Be customer-focused, team-oriented, and motivated, taking ownership of assigned tasks
Have proven ability to self-manage, as well as manage interdisciplinary relationships
Work collaboratively with other Automation engineers to build a sustainable and transferrable architecture for Automation

Responsibilities

Write and execute manual tests
Execute automated SW tests
Carefully analyze and document test results
Operate a variety of laboratory instrumentation and simulators to perform integration testing, system testing, and functionality testing
Report on test activities
Assist software developers and domain experts in designing, performing, and improving verification tests
Work with scientists, technicians, engineers, marketing, and project management to deliver commercial and internal SW systems
Work in Scrum (Agile) teams within the software group, closely coordinating with software developers, systems analysts, and software project managers
Lead and mentor jr level engineers
Drive projects and timelines

Skills

Manual Testing

Automated Testing

Test Plans

Test Scripts

Integration Testing

System Testing

Test Documentation

Scrum

Laboratory Instrumentation

Software Verification

Illumina

Supports genomics startups through funding and resources

About Illumina

Illumina focuses on fostering innovation in the genomics industry by supporting startups through its Illumina Accelerator program. This program helps entrepreneurs create, launch, and grow genomics-focused companies by providing funding and resources. The accelerator operates in two main locations: the San Francisco Bay Area and Cambridge, UK. Illumina Accelerator has successfully invested in 68 genomics startups, which have collectively raised over $1 billion in venture capital. What sets Illumina apart from its competitors is its strong partnership with leading venture capital investors and its dedicated focus on the genomics sector. The goal of Illumina is to build a thriving ecosystem for genomics innovation, enabling new companies to emerge and advance the field.

San Diego, CaliforniaHeadquarters

1998Year Founded

$27.2MTotal Funding

IPOCompany Stage

Venture Capital, BiotechnologyIndustries

5,001-10,000Employees

Risks

Over-reliance on NVIDIA's AI technology may limit flexibility in AI solution adoption.

Standardizing proteomics data across platforms could challenge Illumina's data reliability.

Single-flow-cell NovaSeq X System might cannibalize sales of higher-end models.

Differentiation

Illumina leads in genomic sequencing with advanced AI integration and multiomic data analysis.

The company offers innovative array-based solutions for DNA, RNA, and protein analysis.

Illumina's global expansion includes a new Global Capability Center in Bengaluru.

Upsides

Collaboration with NVIDIA enhances drug discovery and clinical development through AI integration.

Pilot proteomics program with UK Biobank aims to generate crucial reference datasets.

Single-cell sequencing kits make high-throughput sequencing accessible to smaller labs.

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