R&D Senior Member of Technical Staff

AVEVA•Lake Forest, CA

5d•Hybrid

About The Position

AVEVA is creating software trusted by over 90% of leading industrial companies. We are seeking a highly accomplished R&D Senior Member of Technical Staff to lead the design and delivery of complex, mission‑critical industrial automation software built with C#, .NET , and Angular . This role demands deep technical judgment across scalability , reliability , performance , and maintainability , along with the ability to independently drive solutions for medium scale initiatives. You will architect and implement high quality software, design microservices , create technical documentation, guide product decisions, and provide advanced support for escalated customer issues while communicating clearly and effectively across technical audiences. A successful candidate will bring extensive experience with AI assisted engineering tools , including HVE for requirements elaboration, AI driven code generation , unit test automation , automated documentation , and self-PR reviews that improve development velocity and quality. You will act as a strong technical mentor, elevate the team through feedback and design leadership, and help recruit top talent. Deep expertise with Microsoft Azure , Azure AI Search , and cloud scale industrial automation solutions is essential, along with strong domain knowledge that enables you to influence architecture and drive sound engineering decisions across the product platform.

Requirements

Strong experience developing enterprise software in C#/.NET and Angular
Bachelor's Degree or Master's Degree in Computer Science, Math, Physics, Electrical, Mechanical Engineering, or a related field
At least 8+ years’ experience developing software with deep expertise in C#/.NET and Angular, with a proven track record of delivering complex, mission-critical software across the full stack; knowledge of C++ is an added advantage
Proficient in AI‑assisted engineering tools, including HVE (Hyper Velocity Engineering), to elaborate requirements into high‑quality user stories with clear acceptance criteria
Skilled in AI‑driven development workflows, such as AI‑assisted code generation, unit tests authoring, and automated documentation creation to improve engineering velocity
Experienced in using AI tools for rigorous self‑PR review, leveraging automated analysis to enhance code quality and catch issues early
Past ownership and delivery of multiple mission-critical, high complexity products or services with a large impact on both the organization’s business and technical direction
Previous experience leading a few, medium scale, medium impact initiatives with independent follow-through to resolutions; experience with designing and building microservices is preferred
Deep proficiency with Microsoft Azure as the primary cloud platform, including Azure AI Search and the delivery of industrial automation software on cloud at scale
Strong domain knowledge in industrial automation, with the ability to leverage that understanding to lead solution design, vet requirements, and drive technically sound decisions across a product platform

Nice To Haves

Strong foundation in computer science principles, software design patterns (including object‑oriented design), and a solid understanding of operating system internals.
Hands-on experience with both SQL and NoSQL databases, supported by expert‑level debugging and problem‑solving abilities.
Excellent communication skills with the ability to articulate complex technical concepts clearly in both verbal and written form.
Self‑motivated learner who seeks feedback, proactively prioritizes development efforts, and effectively manages time to grow skills and contribute impactfully.

Responsibilities

Driving sound architectural and technical decisions, balancing scalability, reliability, performance, and maintainability to elevate product and team outcomes.
Leading the design, development, testing, and debugging of complex software systems, consistently upholding high engineering standards.
Leveraging AI‑assisted development tools to translate requirements into robust implementations, including code generation, automated tests, and supporting development artifacts.
Producing clear, high‑quality technical documentation that articulates design rationale, system behavior, and implementation details.
Collaborating cross‑functionally to plan and execute development priorities, while providing thoughtful, actionable feedback on designs, features, and code reviews.
Expanding deep domain expertise, mentoring junior engineers, and champion best practices that foster technical growth and shared ownership across the team.
Proactively identifying risks, resolving complex technical challenges, and ensuring smooth delivery across the software lifecycle.