Job
- Level
- Senior
- Job Field
- IT, Embedded, Security
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Berlin, Munich
- Working Model
- Full Remote, Hybrid, Onsite
Job Summary
In this role, you will develop an innovative localization product, implement acoustic and visual sensor systems, and drive Machine Learning models directly on sensors for a drone early-warning system.
Job Technologies
Your role in the team
- You will become part of a 35-member team of technology enthusiasts, sensorics, IoT, and hardware engineers.
- Together with your colleagues, you will undertake the following tasks:
- You are developing a next-generation location product with a learning map architecture.
- You design and implement visual and acoustic sensor systems for drone detection.
- You are developing a multi-sensor perception and fusion system for the drone early warning system.
- You run machine learning and AI models directly on local sensors instead of cloud servers.
- You design, build, and maintain scalable models and bring model inference directly to the drone detection devices.
- You implement scalable intelligence with low-latency intelligence.
- Together with the ML, MLOps, and DevOps teams, you enable fast and secure deployments.
- You monitor the systems, troubleshoot issues, and continuously improve observability.
- If you wish, you support on-site deployments, collect sensor data, and validate the technology in controlled field trials.
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Our expectations of you
Qualifications
- Due to security regulations for this role, citizenship of an EU member state is a prerequisite.
- You are officially registered in an EU country.
- Fluent knowledge of Python and relevant frameworks.
- You have worked for the same employer for at least 2 consecutive years.
- Fluent English; any additional spoken language is a plus.
- You enjoy working in the defense sector.
- You thrive in a dynamic startup or scale-up environment.
- You are motivated to work exclusively operationally and hands-on (not in management) for the next 3-5 years.
- Ideally, you are willing to travel to the field trials for 2-3 days per quarter.
- You are familiar with the following buzzwords: #sensorfusion #multisensorperception #kalmanfiltering #extendedkalmanfilter #ekf #stateestimation #acousticsignalprocessing #edgeAI #tinyML #computervision #objectdetectionandtracking #lowlatencyarchitecture
Experience
- At least 5 years of professional experience in the IT sector (e.g., Engineering).
- At least 2 years of full-time professional experience as a Fusion Engineer, ideally in the field of acoustics.
- At least 2 years of professional experience in the IoT field.
- Good experience with the Embedded Linux ecosystem.
- Initial cloud experience.
- Ideally, experience with Fleet Data, Bash, Golang, C/C++, MLOps, DevOps.
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What we offer
- You work with cutting-edge technologies.
- You will become part of a team of technology enthusiasts engineers.
- You will accompany the next tech unicorn in the defense sector in the development of one of the first multinational drone early warning systems.
- You can expect a multinational, pragmatic hands-on team with a strong focus on innovation.
- Work in the office in Berlin or Munich - or completely remote from anywhere in the EU.
- Apart from some meetings, you then work whenever it suits you best.
- 30 days of vacation.
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Benefits
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The Formula
The Formula is a recruitment consultancy based in Berlin, specializing in the recruitment of professionals in the fields of Data Analytics, Data Science, Data Engineering, and IT project management. The company assists small and medium-sized enterprises with job postings and application processes, connecting companies that use German as their corporate language with international IT professionals in Berlin.
Description
- Company Type
- Startup
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Recruitment Agency
Fusion Engineer Acoustics & Image Processing
- Location
- Berlin, Munich
- Working Model
- Full Remote, Hybrid, Onsite
- Diversity
- Open for all genders
