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Software Engineer – Robotics & Life Sciences Automation

Job in London, Greater London, EC1A, England, UK
Listing for: GPW Recruitment
Full Time, Part Time position
Listed on 2025-12-23
Job specializations:
  • Software Development
    Robotics, Software Engineer
Salary/Wage Range or Industry Benchmark: 70000 - 75000 GBP Yearly GBP 70000.00 75000.00 YEAR
Job Description & How to Apply Below
Position: Staff Software Engineer – Robotics & Life Sciences Automation (Permanent)
Staff Software Engineer – Robotics & Life Sciences Automation

Location:

Greater London, UK – Hybrid (2 days/week onsite)
Salary Band: £70,000 - £75,000

About the Role:

We are seeking an experienced Staff Software Engineer to lead technical direction and deliver cutting-edge solutions in robotics and life sciences automation. This role combines hands-on development with architectural leadership, enabling seamless integration between robotic platforms and scientific instruments. If you thrive in complex environments and want to shape the future of lab automation, this is an exciting opportunity.

What We’re Looking For:

* 10+ years in high-performance or high-throughput software development

* 4+ years integrating hardware, robotics, or Windows-based instruments

* Expertise in Windows software integrations and .NET

* Strong experience with Python; familiarity with Go, Rust, C/C++ is a plus

* Deep knowledge of real-time systems, streaming, concurrency, and distributed systems

Key Responsibilities:

* Architect and implement high-throughput, real-time integrations between robotics platforms and diverse life-science instruments

* Design SDKs, abstractions, and tooling for scalable, repeatable integrations

* Lead technical direction through architecture, patterns, and reviews

* Drive a culture of quality, experimentation, and autonomy

Nice to Have:

* Experience exposing hardware interfaces via APIs or cloud

* Proficiency with IaC and CI/CD for automation-heavy deployments

* Comfortable in fast-paced, scale-up environments

* Continuous learner leveraging modern tools and automation
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