Shield AI

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Shield AI is seeking a Senior Director of Systems Engineering to establish and scale mature systems engineering practices across its autonomy product portfolio. This leader will define and implement best-in-class processes for requirements management, architecture, verification, and certification-ready practices, ensuring rigor, traceability, and predictability while enabling rapid innovation. The role involves driving technical excellence, building a high-performing team, and embedding cybersecurity into every layer of processes and products to deliver safety-critical autonomy capabilities on aggressive timelines.

Communications Manager for Asia/Oceania

Shield AI’s Hivemind Product Engineering team is seeking a Senior Director of Systems Engineering to establish and scale mature systems engineering practices across our autonomy product portfolio. This leader will build and formalize the processes, frameworks, and technical approaches that ensure our autonomy stack is delivered with rigor, traceability, and predictability, while enabling our teams to move aggressively and innovate at speed.Success in this role requires disciplined urgency: the ability to enforce rigor, certification-ready practices, and engineering discipline without slowing down the mission. The Senior Director will be accountable for driving technical excellence while ensuring we can deliver autonomy capabilities on timelines that meet the needs of critical customer missions.The Senior Director will own the definition of requirements, architecture, verification/validation, and certification-ready processes, with respective Hivemind Product and Engineering teams partnering to support this mandate. This role requires both strategic leadership and hands-on systems engineering expertise, with a mandate to conform our practices to the level expected of safety-critical autonomy products.A critical dimension of this mandate is embedding cybersecurity into every layer of our processes and products, ensuring that requirements, architectures, and verifications systematically account for cyber resilience alongside safety and airworthiness.<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">WHAT YOU'LL DO:</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Systems Engineering Function: Define and implement best-in-class systems engineering processes (requirements management, traceability, interface control, architecture, validation/verification)</li><li class="leading-relaxed">Drive Cross-Portfolio Consistency: Create a unified systems engineering framework that spans multiple Hivemind product components</li><li class="leading-relaxed">Enable Certification & Delivery: Ensure processes and documentation are designed to support airworthiness, safety, and cybersecurity, while enabling rapid iteration and delivery</li><li class="leading-relaxed">Lead and Grow Talent: Build and lead a high-performing systems engineering organization, mentoring director and senior engineers</li><li class="leading-relaxed">Collaborate Across Functions: Partner with product management, software, hardware, test, and program leadership to align execution with product goals and timelines</li><li class="leading-relaxed">Own Technical Rigor: Guide trade studies, systems analysis, and design reviews to ensure disciplined decision-making without sacrificing speed</li><li class="leading-relaxed">Champion Tooling & Automation: Implement modern systems engineering tools (e.g., DOORS, Jama, Cameo, JIRA integrations) to drive efficiency in requirements and verification</li><li class="leading-relaxed">Represent Systems Engineering: Act as the primary voice of systems engineering with executive leadership, customers, and industry partners</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">KEY OUTCOMES:</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Unified Systems Engineering Framework: Establish and deploy a standardized, model-based systems engineering framework adopted across all Hivemind product components</li><li class="leading-relaxed">Accelerated Certification-Readiness: Deliver processes and artifacts that position Shield AI’s autonomy stack for airworthiness, safety, and cybersecurity certification while enabling aggressive development timelines</li><li class="leading-relaxed">Measurable Traceability: Achieve end-to-end requirements traceability from concept through verification, ensuring technical rigor and reducing program risk</li><li class="leading-relaxed">Team Growth & Capability: Build and mentor a systems engineering team recognized for its ability to deliver rigor with startup-level agility</li><li class="leading-relaxed">Tooling Integration: Successfully implement modern systems engineering tools that automate requirements management and verification, cutting cycle time while increasing quality</li><li class="leading-relaxed">Credibility & Influence: Establish Shield AI as a recognized leader in systems engineering discipline, trusted by executive leadership, customers, and industry partners alike</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">REQUIRED QUALIFICATIONS:</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">15+ years of experience in systems engineering, with at least 5 years in senior leadership roles</li><li class="leading-relaxed">Proven track record of establishing or scaling systems engineering practices in aerospace, defense, or other safety-critical domains</li><li class="leading-relaxed">Deep understanding of model-based systems engineering (MBSE), requirements management, and certification-driven development</li><li class="leading-relaxed">Strong leadership, organizational, and communication skills with the ability to influence across teams</li><li class="leading-relaxed">Demonstrated ability to balance discipline and rigor with urgency and speed, ensuring safety-critical autonomy products are delivered on accelerated timelines</li><li class="leading-relaxed">Bachelor’s degree in engineering or related field</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">PREFERRED QUALIFICATIONS:</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Experience with multi-domain autonomous systems (air, ground, maritime)</li><li class="leading-relaxed">Familiarity with acquisition processes</li><li class="leading-relaxed">Familiarity with certification standards such as MIL-HDBK-516C, ISO 26262, or equivalent</li><li class="leading-relaxed">Advanced degree in engineering or related field</li></ul>Full-time regular employee offer package:Pay within range listed + Bonus + Benefits + EquityTemporary employee offer package:Pay within range listed above + temporary benefits package (applicable after 60 days of employment)Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.

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Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions. They rely on our top-rated services and support to accelerate their digital transformation efforts and deliver unprecedented progress. With double-digit growth year over year, no provider is better positioned to deliver scalable outcomes than Extreme.Inclusion is one of our core values and in our DNA. We are committed to fostering an inclusive workplace that embraces our differences and creates an atmosphere where all our employees thrive because of their differences, not in spite of them.Become part of Something big with Extreme! As a global networking leader, learn why there’s no better time to join the Extreme team.Senior Software Engineer – (Big Data, GenAI):Experience: 5 to 12 YearsLocation: Bangalore, IndiaRemoteAre you energized by the idea of innovating with Generative AI? Do you want to create global impact while tackling challenges at the forefront of Artificial Intelligence? 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Recognized as a Technology Leader in the Gartner Magic Quadrant and a multi-year Best Employer award winner, Extreme is committed to a culture of diversity, inclusion, and equality, where every employee thrives because of their differences, not despite them.Our AI Core group is pioneering platforms and solutions for Generative AI, including AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning. These innovations power flagship Extreme products while enabling entirely new offerings. Together, we are driving a fundamental shift in how businesses manage networks by building intelligent, high-performance multi-agent systems that perceive, learn, and act in real time.At Extreme, innovation is not just encouraged, it is expected. Advance with us and help shape the future of network intelligence.<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Job Responsibilities</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Design, implement, and maintain scalable distributed systems, data pipelines, and ML services</li><li class="leading-relaxed">Contribute to system architecture discussions and help shape design decisions for production systems</li><li class="leading-relaxed">Build and optimize microservices and real-time inferencing solutions powering AI Agents</li><li class="leading-relaxed">Collaborate with cross-functional teams to integrate Big Data and Generative AI solutions into products and platforms such as Lakehouse, Streaming Services, and ETL Pipelines</li><li class="leading-relaxed">Write high-quality, production-ready code and participate in design reviews, code reviews, and testing</li><li class="leading-relaxed">Mentor junior engineers and contribute to engineering best practices</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Requirements</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Degree in Computer Science, Mathematics, or a related field</li><li class="leading-relaxed">5+ years of experience across the full software development lifecycle including design, coding, testing, deployment, and operations</li><li class="leading-relaxed">3+ years of experience with distributed Big Data systems such as PySpark, Kafka, Lakehouse, Debezium, Druid, or Glue</li><li class="leading-relaxed">Hands-on experience delivering ML or Generative AI solutions such as RAG, AI Agents, or LLM fine-tuning in production</li><li class="leading-relaxed">Experience deploying large-scale systems on cloud platforms such as AWS, Azure, or GCP</li><li class="leading-relaxed">Strong problem-solving skills with the ability to deliver in fast-paced, collaborative environments</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Preferred Qualifications</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">MS in Computer Science, Machine Learning, or a related field</li><li class="leading-relaxed">Experience with Graph ML such as GNNs or Graph RAG</li><li class="leading-relaxed">Experience in Generative AI such as RAG, Knowledge Bases, or AI Agents</li></ul>Extreme Networks, Inc. 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Above and beyond discrimination/harassment based on “protected categories,” Extreme Networks also strives to prevent other, subtler forms of inappropriate behavior (e.g., stereotyping) from ever gaining a foothold in our organization. Whether blatant or hidden, barriers to success have no place at Extreme Networks.

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