Surveillance Specialist in Embedded AI
Technology, Data & Digital · Data, AI & Analytics · Machine Learning · Software Engineering · Embedded Systems
In short
This role is for a Surveillance Specialist in Embedded AI, focusing on deploying and optimizing AI on resource-constrained edge devices for real-time sensor data processing. The specialist will drive technical development, evaluate new technologies, and collaborate across the organization to accelerate edge AI adoption. The position requires 3-5 years of relevant experience in areas like ML model development, optimization, and embedded systems.
Responsibilities
- Explore, evaluate, and drive adoption of AI on resource-constrained embedded and edge computing platforms.
- Assess feasibility of edge AI, identify and validate use cases, and establish proof of concepts.
- Train proprietary machine learning models on GPU-based infrastructure.
- Optimize and deploy AI models on low-power edge processors for real-time intelligence.
- Evaluate emerging HW and SW technologies.
- Collaborate with Common Technology, High Speed Edge Computing, and Sensor System Software Architecture teams.
- Act as a technical leader, driving development and anticipating future trends.
- Engage in external and international relations with academia, partners, and customers.
- Develop and maintain a specialist plan outlining vision and strategy for the technical area.
- Communicate plan and vision regularly to inspire, share insights, and push boundaries.
Requirements
- 3-5 years of relevant experience in Embedded AI, Machine Learning, and Embedded Systems.
- Experience with Edge AI and machine learning model development.
- Experience with identification, evaluation, and validation of edge AI use cases.
- Experience with GPU-accelerated model training using frameworks such as PyTorch or TensorFlow.
- Experience with model optimization and compression techniques, including quantization and pruning.
- Experience with deployment of AI models on relevant compute.
- Experience with embedded systems and RTOS-based software development.
- Experience with hardware platform evaluation and selection for edge AI applications.
- Programming in C/C++ and Python.
- Experience with sensor integration, signal processing, and data acquisition.
- Experience with evaluation of emerging AI technologies, frameworks, and hardware platforms.
Desired Qualifications
- Curious and collaborative engineer who enjoys learning, sharing insights, and being inspired by others.
- Ability to communicate in ways that create understanding and drive positive change.
- Willingness to develop both your own competence and that of those around you.
- Readiness to take the lead in situations and support others in contributing and developing.
- Interest in understanding the broader business context, including customers, competitors, products, priorities, and financial considerations.
- Ability to contribute expertise and perspective to driving the transformation and competitiveness of Surveillance capabilities.
- Security vetting based on current regulations around/of security protection is required.
- Potential additional obligations on citizenship may apply for positions requiring security clearance.
Benefits
- Appointments made for a three-year term (2026-2028).
- At least 20% of your time dedicated to specialist activities.
- Opportunity to meet and interact with other specialists at Saab.
- Inspirational Surveillance Specialist Day.
- Opportunity to engage in mentorship programs and courses.
- Develop and maintain a written specialist plan.
- Opportunity to broaden your experience.
- Add variation to your everyday work.
- Support your long-term career development.
- Build trust through open communication.
- Contribute ideas.
- Take initiative to identify opportunities and work more efficiently.
#AI#Embedded Systems#Machine Learning#Edge Computing#Sensor Data#Real-time Intelligence#Optimization#Deployment#Low-power Processors#Hardware#Software#Technical Leadership#Research#Development#Academics#Partnerships#Customers
Company
Saab
Job Posted
1 week ago
Expires
in 2 weeks
Employment Type
Full Time
WorkMode
On Site
Experience Level
Mid-Senior
Locations
Gothenburg, Sweden
Applicants
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