Act as the primary technical expert on EDGE AI and emerging technologies, offering guidance to the sales team, clients, and internal stakeholders.
Design and architect sophisticated, scalable solutions to solve critical business challenges and drive value for our clients and Wind River.
Collaborate with C-level executives and senior technical leaders to align AI and emerging solutions with their strategic goals.
Create and deliver advanced technical demonstrations and proofs of concept that highlight Wind River’s capabilities today and in the future.
Create a detailed technical understanding of the market and our competition in EDGE AI and emerging technology.
Work closely with Product and R&D to provide market insights and client feedback, shaping the product roadmap.
Help develop and implement technical sales strategies that drive value to Wind River and differentiate Wind River from the competition.

Requirements

10+ years in technical sales engineering for embedded software and cloud technologies at the edge demonstrating both technical and business acumen.
Strong background in operating systems preferred (enterprise Linux, embedded Linux, RTOS, mixed-criticality) including boot, kernel, drivers, and performance tuning.
Knowledge of middleware and runtimes supporting Edge AI (e.g., container runtimes Docker, containerd, Kubernetes / K3s / MicroK8s at the edge, AI runtimes and accelerators (TensorRT, OpenVINO, ONNX Runtime, vendor SDKs).
Ability to translate complex technical solutions into clear business value and ROI for executives.
Ability to design end-to-end Edge AI solutions spanning data ingestion, model lifecycle, deployment, runtime, and operations.
Hands-on understanding of AI frameworks and model formats (e.g., PyTorch, TensorFlow, ONNX).
Proven ability to lead customer-facing technical engagements, including discovery workshops, executive briefings, and architecture reviews.
Skilled at eliciting business objectives, operational constraints, and success criteria, then translating them into viable Edge AI architectures.
Comfortable running meetings end-to-end with stakeholders ranging from developers to C-suite executives.
Trusted technical advisor capable of aligning AI initiatives with business value, ROI, and long-term platform strategy.
Ability to differentiate solutions competitively through architecture, performance, security, and lifecycle value.
Experience creating and delivering technical presentations, demonstrations, proofs of concept (POC), reference architectures, whitepapers, blogs, and conference talks.
Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s degree preferred.
US Citizen.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

technical sales engineeringembedded softwarecloud technologiesoperating systemsenterprise Linuxembedded LinuxRTOSmiddlewareEdge AIAI frameworks

Soft Skills

business acumencommunicationleadershipcollaborationtechnical demonstrationscustomer engagementstakeholder managementtranslating technical solutionseliciting business objectivestrusted advisor

Certifications

Bachelor’s degree in Computer ScienceBachelor’s degree in EngineeringMaster’s degree