Advisory Software Engineer, Rust

LATC Summary:

The Lenovo AI Technology Center (LATC)-Lenovo’s global AI Center of Excellence-is driving our transformation into an AI-first organization. We are assembling a world-class team of researchers, engineers, and innovators to position Lenovo and its customers at the forefront of the generational shift toward AI. Lenovo is one of the world’s leading computing companies, delivering products across the entire technology spectrum, spanning wearables, smartphones (Motorola), laptops (ThinkPad, Yoga), PCs, workstations, servers, and services/solutions. This unmatched breadth gives us a unique canvas for AI innovation, including the ability to rapidly deploy cutting-edge foundation models and to enable flexible, hybrid-cloud, and agentic computing across our full product portfolio. To this end, we are building the next wave of AI core technologies and platforms that leverage and evolve with the fast-moving AI ecosystem, including novel model and agentic orchestration & collaboration across mobile, edge, and cloud resources. This space is evolving fast and so are we. If you’re ready to shape AI at a truly global scale, with products that touch every corner of life and work, there’s no better time to join us. #LATC

Job Summary:

Lenovo is seeking a Advisory Software Engineer with a strong Rust background to join our growing team in Lenovo’s new AI Technology Center building reusable AI components. To be successful in this role, you need to be a self-starter who enjoys collaborating closely with other senior engineering leadership on architecture and technical decisions in a high-ownership engineering culture. We are looking for a generalist engineer with prior production Rust experience who enjoys ownership, autonomy, and solving real business problems end-to-end. In this role, you will enjoy opportunities to implement best practices to ensure reliability, concurrency, and performance in production systems. This is a hands-on technical role requiring strong communication skills, a bias for action, and the ability to operate independently with high ownership. If you are passionate about making Smarter Technology For All, come help us realize our Hybrid AI vision!

Responsibilities:

• Runtime Collaboration:
  Partner closely with model and runtime engineers to align dataset design with inference pipelines, orchestration frameworks, and execution environments across device and backend systems.
• Reusable Systems Design (Rust):
  Design and build modular, reusable Rust components (crates, libraries, services) using strong typing, trait-based abstractions, and clear interface boundaries to support on-device AI runtimes and hybrid agent orchestration.
• High-Performance Runtime Development:
  Implement low-latency, memory-efficient runtime components leveraging idiomatic Rust patterns (ownership, borrowing, async/await with tokio), ensuring safe concurrency and predictable execution in constrained environments.
• API & Interface Design:
  Define clean, strongly-typed APIs and contracts (avoiding unsafe patterns like void pointers or untyped interfaces), enabling composability and long-term maintainability across runtime and backend systems.
• Cross-Platform & Edge Optimization:
  Build portable Rust applications that run efficiently across edge devices and backend systems, optimizing for binary size, startup time, and resource utilization.
• Observability & Reliability:
  Integrate structured logging, metrics, and tracing (e.g., tracing crate) into runtime components to ensure visibility into system behavior and support debugging and performance tuning.
• Runtime Integration & Orchestration:
  Develop integration layers for hybrid agent orchestration, including async task coordination, plugin-like extensibility, and safe interaction across system boundaries (e.g., FFI, IPC, or service interfaces).
• Cross Functional Collaboration: Work closely with other teams including developers, product teams and business leaders to understand their data requirements, and roadmap engineering tasks in project management software
• Documentation: Create and maintain clear and concise documentation for data pipelines, data quality checks, and data governance procedures.
• On Device Edge AI Deployment: Running on device machine learning models for applications using common runtimes (ONNX, LiteRT, Etc).

Required Qualifications:

• education: Bachelor’s in Computer Science, or a related field.
• Experience: 8+ years of experience in a software engineering roles.
• Programming Skills: Mastery in Rust with proficiency in other languages as require ( e.g. C++, Python, Kotlin, Java, terraform, SQL, etc).
• Communication Skills: Excellent written and verbal communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.
• Leadership Experience: Strong prior experience leading teams of cross functional engineers in an Agile environment.

Preferred Qualifications:

• Located near Morrisville North Carolina in the RTP.
• Experience with developing cross platform applications for Android & Windows.
• Experience with AWS & cloud native Application development.
• Platform engineering expertise developing production platforms at scale.
• Experience implementing OpenTelemetry and observability tools.

#LATC