AI and Software Engineering Research Scientist Edge Software Systems
Overview
Lead development of AI and edge software capabilities focused on production-readiness for tactical autonomous systems first responders space and avionics. Drive innovation in edge AI DDIL environments edge intelligence and continuous integration collaboration. Shape AI software engineering practices through research and lab activities.
What You'll Do5
- 1Develop deploy edge software systems and publish research results in top tier venues
- 2Design ship and scale solutions for disconnected intermittent limited environments
- 3Collaborate across UAX edge initiatives and AISE Lab projects
- 4Mentor teams and lead cross functional efforts
- 5Maintain secure clearance and adapt to evolving mission requirements
Requirements5
- 1PhD in computer science software engineering or related field
- 2Two or more years engineering edge software in research settings
- 3Eight or more years leading innovative software engineering techniques
- 4Strong empirical research skills
- 5Excellent written and verbal communication abilities
Salary Insight
Salary not disclosed in listing
Location
Required Skills
Similar open positions
Explore active roles that match your skills and interests.
Carnegie Mellon University
VerifiedSenior AI-Native Software Engineering Researcher Carnegie Mellon
Our team pioneers AI-native software engineering research shaping future practices. We study AI integration in industry and government environments to drive innovation while maintaining quality. This role focuses on applying AI to accelerate software development across large scale systems. The position offers unique opportunities to collaborate with experts and influence AI-native engineering strategies.
Carnegie Mellon University
VerifiedAI-Native Architect | Carnegie Mellon University
Lead AI-native software engineering initiatives to transform architecture-scale challenges. Own AI-driven solutions that accelerate delivery while preserving quality. Shape cutting-edge strategies through research and collaboration.
Startekk Inc
VerifiedAI Software Engineering Lead IT Architect StarTek IT Architect 3
Drive AI-powered software engineering platforms and agentic development capabilities across enterprise teams. Establish AI engineering standards and governance frameworks to accelerate delivery improve quality and enhance developer productivity.
Bright Vision Technologies
VerifiedEdge Computing AI Engineer | Cloud AI Solutions at Bright Vision Technologies
Design and deploy efficient machine learning models for edge devices. Lead teams to deliver scalable AI capabilities outside data centers. Join a respected firm with strong career growth. Seeking candidates with 6+ years of ML engineering experience.
Carnegie Mellon University
VerifiedSecure AI Scientist - CMU
The Senior Machine Learning Research Scientist leads research to uncover AI vulnerabilities and secure systems for defense and national security. This role drives innovation in AI engineering while preparing government customers for mission-critical AI adoption. You will shape the future of secure AI through cutting-edge research and cross-disciplinary collaboration.
Beaconai
VerifiedAdvanced Pilot Assistant Software Lead Engineer
Design and build advanced pilot assistance systems for aviation safety. Lead development of autonomy robotics and embedded software in production environments. Drive reliability and performance for time-sensitive decision-making.