Defense / Edge Tech Lead
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Defense / Edge Tech Lead in United States.
This role sits at the intersection of advanced AI, embedded systems, and defense-grade computing environments, where cutting-edge speech models must operate far beyond traditional cloud infrastructure. You will lead the effort to bring high-performance speech AI into edge, on-premises, and disconnected systems with strict constraints on latency, power, and compute. Working across hardware partners, defense ecosystems, and internal research teams, you will define how large-scale AI models are optimized, deployed, and secured in mission-critical environments. This is a highly technical leadership role requiring deep systems thinking and a strong ability to translate AI innovation into real-world, constrained deployments. You will influence both architecture and execution, ensuring models perform reliably on diverse hardware platforms. The environment is fast-moving, experimental, and deeply technical, with significant strategic impact on next-generation AI infrastructure.
- Define and lead the technical strategy for deploying speech AI models across edge, embedded, on-premises, and air-gapped environments.
- Architect and optimize model performance for constrained systems through quantization, pruning, distillation, and runtime engineering.
- Partner with hardware vendors and ecosystem players to ensure efficient model execution across chipsets, SDKs, and device architectures.
- Design and build edge runtime infrastructure, including deployment pipelines, OTA updates, model packaging, and telemetry systems.
- Implement security-hardened deployments for defense and government use cases, including encryption, secure boot, and tamper resistance.
- Benchmark and validate performance across multiple hardware platforms, ensuring reproducibility in latency, accuracy, and power efficiency.
- Collaborate with research and engineering teams to guide model design toward edge-friendly architectures from the outset.
- Provide technical leadership across cross-functional teams, setting standards, reviewing designs, and mentoring engineers working on edge systems.
Requirements
- 5+ years of experience in systems engineering, embedded systems, edge AI, or performance-critical software development.
- Strong programming expertise in C, C++, and/or Rust with experience in low-level, resource-constrained environments.
- Proven experience optimizing machine learning models for edge deployment using techniques such as quantization, pruning, or distillation.
- Familiarity with inference runtimes and toolchains such as ONNX Runtime, TensorRT, TFLite, or vendor-specific SDKs (e.g., Qualcomm QNN/SNPE).
- Deep understanding of hardware-software interaction, including CPU/GPU/NPU architectures, memory systems, and power/performance tradeoffs.
- Experience with secure system design practices, including encryption, secure boot, and trusted deployment pipelines.
- Strong communication skills with experience acting as a technical interface to external partners and enterprise or defense stakeholders.
- Bonus: exposure to defense or government environments, real-time audio processing, or advanced ML optimization techniques.
Benefits
- Comprehensive medical, dental, and vision coverage
- Mental health support and annual wellness stipend
- Unlimited PTO and flexible work arrangements
- Generous paid parental leave
- Retirement savings plan with company match (401k or local equivalent)
- Learning, training, and conference budget for professional development
- Home office and productivity stipends
- Life and disability insurance coverage
- Employee wellbeing programs, workshops, and AI-focused enablement initiatives
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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