Website:
zopplersystems.com
Job details:
Zoppler Systems is a product-based deep technology company focused on building indigenous advanced systems for defence and real-world mission environments. We work across radar, RF systems, embedded electronics, intelligent sensing, real-time software, and AI-driven platforms to develop high-performance technologies for mission-critical applications.
As an engineering-driven organization, we are committed to building core technologies in-house with a strong focus on innovation, reliability, and practical deployment. Our work offers engineers the opportunity to contribute to technically challenging products with meaningful real-world impact and long-term strategic relevance.
Role: AI Forward Deployed Engineer (AI FDE)
Work directly at customer and field sites to deploy, integrate, and adapt Zoppler Systems' AI-driven platforms for real-world mission environments. The role involves fine-tuning and evaluating models against live operational data, and close collaboration with end users to turn field feedback into working AI solutions.
What You’ll Do
- Deploy, configure, and support Zoppler Systems' AI/ML models and pipelines directly at customer and field sites.
- Work closely with end users, operators, and domain experts to understand mission requirements and translate them into working AI solutions.
- Rapidly fine-tune, evaluate, and adapt models against real-world field data, sensor feeds, and operational constraints.
- Debug and resolve issues across the AI stack — data pipelines, inference, and model integration — often on-site and under time pressure.
- Feed field learnings and model performance data back to the AI and product teams to drive rapid iteration and improvement.
- Travel to customer and deployment sites as required, including field trials and operational environments.
What We’re Looking For
- B.E./B.Tech or M.E./M.Tech in CS/ECE or related fields.
- Strong programming fundamentals in Python and/or C++, with hands-on experience in ML frameworks (PyTorch, TensorFlow, or similar)
- Comfort working directly with customers and translating ambiguous requirements into working AI/ML solutions
- Hands-on experience with model training, fine-tuning, or deployment, including on constrained or edge hardware
- Ability to work independently in the field, including at customer or deployment sites
- Willingness to travel, including to remote or high-security environments as required
Nice to Have
- Prior experience in a forward-deployed AI/ML, applied AI, or field engineering role
- Exposure to computer vision, sensor fusion, or signal/radar data processing
- Experience with Git or modern version control systems
- Interest in aerospace, defense, or sensor systems
- Familiarity with GPU-accelerated computing and Linux environments for rapid prototyping
- Exhibits alignment with organizational values, a proactive approach to problem-solving, and a strong sense of ownership toward the company’s mission
Why Join Us
- Be part of a company building advanced indigenous products in strategically important technology domains
- Work on complex engineering challenges at the intersection of hardware, software, RF, and intelligent systems
- Contribute to the development of mission-critical technologies designed for real-world deployment
- Gain broad exposure to deep-tech product development in a high-ownership environment
- Learn rapidly through hands-on involvement in technically demanding programs
- Grow with a fast-evolving organization that values capability, execution, and technical leadership
- If you are passionate about building high-performance hardware and want to work on challenging, meaningful problems, we would love to connect with you.
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