Sr. R&D Innovation Engineer at LYNX SOFTWARE TECHNOLOGIES INC
Remote, Oregon, USA -
Full Time


Start Date

Immediate

Expiry Date

14 Nov, 25

Salary

0.0

Posted On

14 Aug, 25

Experience

8 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Virtualization, Vulcan, Kubernetes, Machine Learning, Critical Infrastructure, Security, Opengl, Consideration, It, Critical Systems, Ipsec, Reliability, Product Lifecycle Management, Operating Systems, Software Solutions, Operational Excellence, Sca, Lynx, Rust

Industry

Computer Software/Engineering

Description

Job Title: Sr. R&D Innovation Engineer
Location: Remote - US or Canada
Pay Range: $130,000 - $175,000 + Bonus Eligible
Reports To: Chief Technology Officer

Who we are: Lynx delivers modular, open standards-based software solutions that redefine the economics of developing, deploying, and maintaining high assurance, mission critical edge platforms. These secure edge computing solutions are designed to drive innovation and operational excellence in today’s most demanding environments. From advancing aerospace and defense capabilities to transforming commercial and industrial systems, Lynx collaborates across a wide range of industries, including automotive, medical, and critical infrastructure, to deliver tailored, high assurance solutions aligned with specific mission and operational requirements. Our key products and services are:

  • LYNX Mosaic: A software platform that can include a LYNX safety-critical real-time operating system. MOSAI.ic’s modular design provides robust support for multicore processing. It allows different operating systems and applications of different criticality levels to be run on separate cores for improved performance, reliability, and security.
  • CoreSuite 2.0: A suite of graphics libraries and tools that enable GPU hardware acceleration for both graphics and “GPU Compute”, supporting applications such as machine learning and AI processing in edge devices.
  • MOSA.ic.SCA and Vigiles, tools that provide Software Bill of Materials (SBOM) and Common Vulnerabilities Exposure (CVE) management for embedded Linux-based and other applications.
  • Software development services for high-reliability applications that can include initial setup of a “DevSecOps” development environment, software application development, and long-term product lifecycle management.

SUMMARY:

As an R&D Innovation Engineer, you’ll work on prototyping and validating emerging technology initiatives, bridging the gap between early-stage experimentation and production readiness. You’ll focus on extending our core operating system, virtualization, and graphical and GPGPU capabilities into adjacent markets, driving product feasibility, and de-risking product concept to market transition process.

EDUCATION & EXPERIENCE:

  • 5-8+ years of experience in software/hardware/embedded engineering
  • Proficiency in prototyping, rapid iteration, and exploratory development
  • Programming Language Experience – C (preferred), Python, RUST, OpenGL, Vulcan
  • Solution Integration Experience – Linux, Container, Virtualization, Kubernetes, IPSec
  • Strong communication skills to present technical risk, feasibility, and tradeoffs
  • Bonus: experience with safety-critical systems, real-time constraints, or low-level kernel and network stack development

Sound Exciting? Get in touch today! We have very robust benefits including:

  • Low-cost Medical / Dental / Vision coverage options
  • 401K with generous employer match
  • Responsible Paid Time Off + 11 Paid Holidays
  • Remote work opportunities based on role
  • Employee Assistance Program (EAP)
  • Career growth and professional development opportunities

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status

How To Apply:

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Responsibilities
  • Design, prototype, and test emerging tech features in areas adjacent to our core product roadmap.
  • Lead research into next-generation architectures, toolchains, or secure computing models.
  • Explore novel paradigms (e.g., ML at the edge, neuromorphic computing, quantum-resilient architectures).
  • Engage with academic and research partners to stay at the forefront of technology.
  • Conduct feasibility studies and technical assessments for early-stage concepts.
  • Translate proof-of-concept work into production-adjacent solutions.
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