Senior Software Engineer at Xilis Inc
Durham, North Carolina, USA -
Full Time


Start Date

Immediate

Expiry Date

29 Jun, 25

Salary

0.0

Posted On

29 Mar, 25

Experience

7 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Citizenship, Instrument Control, Signal Processing, Computer Engineering, Device Drivers, Aws, Python, Microcontrollers, Integration, Color, Communication Protocols, Version Control, Embedded Systems, Software Integration, Design Principles, Data Acquisition

Industry

Computer Software/Engineering

Description

Xilis, Inc. is an innovation-driven biotech company developing its proprietary MicroOrganoSphere (“MOS”) Technology for functional precision oncology. Xilis’ MOS Technology enables rapid and scalable generation of patient tumor models that retain patient-specific tumor biology and tumor microenvironment, representing one of the most translationally-relevant ex vivo technologies for precision oncology drug discovery and development. Located in Research Triangle Park, Durham, NC, Xilis is building a functional precision medicine platform that incorporates scaled multi-modal profiling of therapeutic activity and AI/ML-enabled analytics to catalyze functional precision medicine drug discovery, development and diagnostics. Collectively, Xilis aims to harness its MOS Platform to enable development of the most effective therapeutics and guide them to the right patients at the right time.

REQUIREMENTS

  • 7+ years of professional software engineering experience focused on embedded systems, device drivers, and integration with hardware components.
  • Strong understanding of hardware-software integration, embedded systems, real-time processing, and how to interface with physical devices (e.g., sensors, actuators, communication buses, PCBs, microcontrollers).
  • Proficiency in Python for instrument control, data acquisition, and device communication protocols
  • Experience building and integrating APIs on AWS
  • Experience with Git version control, CI/CD pipelines, and agile development
  • Experience with Linux systems
  • Bachelor’s degree in Electrical Engineering, Computer Engineering, or related technical field

PREFERRED QUALIFICATIONS

  • Background in life sciences or biotechnology
  • Knowledge of regulatory requirements for laboratory instrumentation
  • Background in electrical engineering or hands-on experience with hardware fundamentals such as signal processing, circuit-level debugging, or hardware bring-up.
  • Prior experience with microfluidics or lab automation systems
  • Experience with C/C++ for performance-critical applications
  • Knowledge of UI/UX design principles for instrumentation interfaces
    Xilis was created when its three founders — an engineer, a physician, and a biologist — decided to come together and commercialize their technology to transform cancer care. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We do not discriminate on the basis of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Furthermore, even if your work experience isn’t perfectly aligned with what we’ve described above, if you’re excited about what we’re building then we want to talk to you!
    Xilis offers comprehensive health, vision, dental & retirement plans, and unlimited PTO. We are a remote-friendly team: our headquarters are in Durham, North Carolina, but we have team members across the US (and beyond!)
Responsibilities
  • Integrate diverse sensors and hardware components using manufacturer libraries and SDKs
  • Develop and design software logic systems for error detection, handling, and response, based on system readouts from hardware components
  • Create robust data pipelines to synchronize device data with our AWS data lake
  • Build intuitive, responsive on-device user interfaces
  • Implement comprehensive logging and monitoring systems for device operations
  • Collaborate with data scientists to develop and deploy device-specific algorithms that enhance operational efficiency and output quality
  • Troubleshoot and resolve software issues to ensure reliable device operation, including PCBs and onboard computers
  • Develop and maintain standard operating procedures (SOPs) for device operation to support laboratory workflows
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