Senior Manager, Software Architecture & AI Enablement
Posted Jun 28 · 0 applicants
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The role in plain words
This role is responsible for leading the integration of AI tools into the software development lifecycle and defining the long-term software architecture across embedded, real-time, and host-PC environments. The day-to-day work involves establishing AI-assisted coding practices, defining architecture roadmaps, and training engineering teams to improve productivity and software quality.
- BSc/MSc in relevant field
- 10+ years software engineering experience
- 5+ years leadership experience
- Experience in embedded/real-time systems
- Architecture and AI adoption experience
Extracted from the job description · kept up to date automatically
Who this suits
This role suits experienced engineering leaders with over 10 years of software engineering experience, at least 5 years of leadership, and a strong background in embedded or real-time systems and AI adoption. It is less ideal for those without leadership experience or those lacking technical expertise in software architecture and AI tools.
Full job description
Original listing · kept for referenceSenior Manager, Software Architecture & AI Enablement
Report to: VP R&D
Job Description
The Software Architecture & AI Enablement Senior Manager is responsible for driving the transformation of all software engineering activities (Firmware, DSP, FPGA, Testing Automation and GUI) through AI adoption, architectural leadership, and engineering excellence.
This role embeds AI capabilities into the software development lifecycle (SDLC) while defining and governing the long-term software architecture across embedded, real-time, and host-PC environments.
Key Objective
s· Increase engineering productivity using AI tool
s· Improve software quality and maintainabilit
y· Reduce development cycle tim
e· Establish scalable software architectur
e· Standardize AI-assisted practice
s· Drive engineering excellenc
e Core Responsibiliti
es· Integrate AI into SDLC phas
es· Define architecture roadm
ap· Introduce engineering best practic
es· Evaluate and deploy AI too
ls· Establish governance for AI-generated co
de· Train engineering tea
ms· Track metrics and KP
Is· Lead cross-functional collaborati
on Qualificati
• onsBSc/MSc in relevant fi
• eld10+ years software engineering experie
• nce5+ years leaders
• hipExperience in embedded/real-time syst
• emsArchitecture and AI adoption experie
nce Sk
• illsStrong coding and architecture sk
• illsAI tools exper
• tiseSDLC & De
• vOpsLeadership and communica
tion
• KPIsCycle time redu
• ctionProductivity improve
• mentsAdoption
• ratesQuality me
trics
Questions about this role
- This listing did not state a salary. We only show pay when the employer publishes it.
- BSc/MSc in relevant field, 10+ years software engineering experience, 5+ years leadership experience, Experience in embedded/real-time systems, Architecture and AI adoption experience