Program Manager for Public Safety Outreach

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the world’s most trusted driver. Originating as the Google Self-Driving Car Project in 2009, our focus has been on developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and significantly reduce traffic-related fatalities. With over ten mill…

OverviewJoin Google DeepMind in a transformative role as a Senior Technical Program Manager, where you will be instrumental in revolutionizing the Gemini App! In this position, you will spearhead the strategic planning and execution of significant Gemini launches across web, mobile, and iOS platforms. Collaborating closely with our Engineering, Product, and UX teams, as well as other GDM units, you will work on state-of-the-art language models to deliver innovative solutions to a vast user base. This role offers a unique opportunity for hands-on project leadership, enabling you to create pioneering features and make a substantial impact on how users interact with AI. Immerse yourself in our vibrant, fast-paced, startup-like environment, where pushing the limits of AI is not just encouraged but expected. About Google DeepMindAt Google DeepMind, we believe that Artificial Intelligence is one of humanity's most groundbreaking inventions. Our team comprises leading scientists, engineers, and machine learning experts dedicated to advancing the frontiers of AI for the benefit of society and scientific exploration. We are committed to collaborating with others on significant challenges, always prioritizing safety and ethics in our work.Your ContributionsAs a vital member of the GeminiApp team, you will:Lead and propel the progress of crucial feature launches within the Gemini App ecosystem.Identify and manage cross-functional dependencies across diverse teams and organizations.Collaborate with engineering and product leads to shape product direction and ensure successful implementation.Guide engineering teams in identifying, prioritizing, and tracking tasks to completion.Proactively identify risks, develop mitigation strategies, and implement effective solutions.Regularly communicate project progress, risks, and plans to leadership.Identify and enact process improvements to boost team efficiency.Simultaneously manage multiple time-sensitive projects.Cultivate a collaborative and inclusive team culture that values innovation and excellence.Advocate for the team's needs, ensuring they have the resources and support necessary for success.

About Bespoke LabsBespoke Labs is a leading applied AI research laboratory at the forefront of data and reinforcement learning environment curation for the training and evaluation of AI agents.We recently developed Open Thoughts, an acclaimed open reasoning dataset utilized by various frontier labs. Our innovations include training state-of-the-art specialized models such as Bespoke-MiniChart-7B and Bespoke-MiniCheck, and teaching agents to perform multi-turn tool-calling using reinforcement learning techniques.We are also proud contributors to Terminal-bench, a premier benchmark for agent evaluation widely used by top research labs. Bespoke Labs specializes in creating RL environments for elite labs and customized agents for businesses.About The RoleWe are seeking talented AI Enterprise Engineers who will engage directly with our enterprise clientele, overseeing both strategy and execution. You will play a key role in defining model and agent specifications, identifying user pain points, and designing tailored agents.Your responsibilities will include benchmarking models and developing datasets tailored to customer requirements using Bespoke Labs tools. Moreover, you will enhance model performance through context optimization and advanced post-training methodologies such as Supervised Fine-Tuning (SFT) and reinforcement learning (RL). At Bespoke Labs, you will have the opportunity to engage with ongoing core research in this domain, including the latest prompt optimization techniques like GEPA.AI Engineers blend research intuition with practical implementation. You will need to comprehend agent behaviors, identify reward hacking, and analyze failure modes, translating these insights into enterprise-deployed specialized agents.The ideal candidate will possess:Strong proficiency in Python and experience in machine learning product development.A solid background in Computer Science or Electrical and Computer Engineering, with a Master’s or Ph.D. degree preferred.Demonstrated expertise in machine learning and AI fundamentals, including model evaluation, training, and fine-tuning.Experience in deploying models in a production environment.

OverviewAt Google DeepMind, we harness the power of Artificial Intelligence to create extraordinary advancements for humanity. Our team, comprising scientists, engineers, and machine learning specialists, collaborates on innovative solutions that prioritize safety, ethics, and public benefit.Role SummaryWe are on the lookout for a dynamic Technical Program Manager to spearhead the product development and launches for pivotal initiatives, including Antigravity. This role demands a strategic thinker who can navigate complex launch processes, manage cross-functional dependencies, and champion the adoption of groundbreaking tools and features both within Google and the broader community. The ideal candidate will possess a unique blend of program management expertise, technical insight, and exceptional communication skills to effectively oversee releases, engage with diverse teams, and support our expanding user base.Key Responsibilities:Antigravity Product Launches: Manage the complete lifecycle of product launches, collaborating with various stakeholders to integrate and oversee new features, ensuring seamless rollouts and effective release management.Cross-Team Coordination: Foster partnerships with teams across Google to innovate and enhance product offerings. Build strong working relationships, align project goals, manage interdependencies, and ensure transparent communication and risk mitigation.User Engagement and Community Development: Design and implement strategies to boost product adoption, nurture user communities, and develop comprehensive user-facing materials, including documentation and communications.Product Metrics & Reporting: Lead the development of product dashboards to monitor key metrics, provide progress updates, and continually assess user needs from both internal Google teams and external clients.

OverviewAt Google DeepMind, we believe that artificial intelligence is one of humanity's most transformative inventions. Our team of scientists, engineers, and machine learning specialists collaborates to push the boundaries of AI, prioritizing ethical considerations and public benefit in every endeavor.About UsJoin our Frontier AI Research team at Google DeepMind, where you will play a crucial role in steering the operational and technical success of groundbreaking AI initiatives. As a Technical Program Manager, you will partner with research leaders to translate complex scientific objectives into actionable technical roadmaps, facilitating the transition from innovative research to impactful real-world applications.The RoleIn this dynamic position, you will spearhead high-impact programs characterized by significant technical complexity and diverse cross-functional dependencies. Your deep technical expertise will enable you to assess engineering scopes, influence critical technical decisions, and streamline the delivery of research advancements. This multidisciplinary role engages with cutting-edge AI technologies, including Retrieval-Augmented Generation (RAG) systems and large-scale evaluation frameworks, as well as strategies for the safe and effective societal integration of AI systems.Key ResponsibilitiesProgram Strategy and Execution: Collaborate with AI Research leads to co-create long-term strategies, technical objectives, and metrics for initiatives that redefine generative AI.Technical Due Diligence: Assess engineering scopes, set milestones, and influence the technical trajectory of projects.Cross-Functional Leadership: Cultivate and lead effective partnerships across various disciplines, including modeling, infrastructure, and evaluation, ensuring alignment on shared goals.Operational Excellence: Develop and implement robust mechanisms to monitor program performance, foresee technical risks, and manage interdependencies across research workstreams.Continuous Innovation: Identify and enact opportunities for ongoing improvement and innovation in the AI research landscape.

P-1126 Summary At Databricks, we are passionate about empowering data teams to tackle the world's most pressing challenges, ranging from security threat detection to groundbreaking cancer drug development. Our mission is to create and maintain the premier data and AI infrastructure platform that enables our customers to concentrate on high-value tasks central to their objectives. Our engineering teams are dedicated to developing innovative products that address significant real-world needs. We continually strive to advance the frontiers of data and AI technology while ensuring our operations are resilient, secure, and scalable to guarantee our customers' success on our platform. Customers place their trust in Databricks with their most critical data, and the Trust & Safety department's mission is to establish the most reliable data analytics and machine learning platform globally. Our Security Engineering team plays a pivotal role in safeguarding customer data from malicious threats. We seek seasoned leaders like you to craft the vision and strategy for this vital domain.

P-1126 Summary At Databricks, we are committed to empowering data teams to tackle some of the most complex challenges facing the world, from security threat detection to the development of innovative cancer treatments. We achieve this by developing and managing a state-of-the-art data and AI infrastructure platform, allowing our clients to concentrate on the high-impact issues that are critical to their goals. Our engineering teams craft advanced technical products that address significant and real-world needs. We consistently push the limits of data and AI technology while ensuring the resilience, security, and scalability that are essential for our customers' success on our platform. Clients entrust Databricks with their most sensitive data, and our Trust & Safety team is dedicated to creating the most secure data analytics and machine learning platform globally. The Security Engineering division plays a vital role in safeguarding customer data from malicious actors, and we are seeking visionary senior leaders to shape and define our strategy in this domain.

At MatX, we are committed to pioneering the compute platform for Artificial General Intelligence (AGI). Our team is engaged in creating comprehensive, vertically integrated full-stack solutions ranging from silicon to systems, incorporating both hardware and software to effectively train and execute the largest machine learning workloads necessary for AGI. Our primary programming language is Rust.Key Responsibilities:Design and sustain functional and performance models of our hardware systems.Create tools and infrastructure to enhance the efficiency of correlation, debugging, and testing processes.Collaborate closely with model stakeholders including architecture, verification/validation, compiler, and runtime teams.Engage in architectural decisions and participate in review processes.Explore and implement performance optimization strategies.

What MatX Is Building At MatX, we are committed to creating the compute platform for Artificial General Intelligence (AGI). Our team is developing comprehensive full-stack solutions that encompass both hardware and software, designed to efficiently train and execute the largest machine learning workloads for AGI. Our primary programming language is Rust. What You'll Do Here Design and optimize kernels that interact directly with our hardware architecture. Collaborate closely with our Machine Learning Research and Hardware Engineering teams. Provide programming insights and guidance on hardware architecture to ensure seamless software integration. Who You Are Bachelor's degree in Computer Science or a related field. Experience in optimizing software for specialized hardware using techniques like parallelism, SIMD programming, C, assembly optimization, or GPU/CUDA programming. Proficient in at least one of the following languages: assembly, C++, C, Zig, or Rust. This is a hybrid position requiring you to work in our Mountain View, CA office 3 days a week (Tuesday through Thursday). Bonus Points If You Have Experience with kernel implementations for machine learning models, including Transformers. Familiarity with distributed parallelism techniques like AllReduce, AllToAll, data parallelism, and tensor parallelism. Understanding of compiler operations. Compensation Compensation for this full-time role is based on several factors including experience, skills, and location. Career length is considered as a guideline for salary. 0-5 years of experience - $120,000 - $200,000 + equity 5-10 years of experience - $120,000 - $300,000 + equity 10+ years of experience - $120,000 - $400,000 + equity What We Offer A Stake in Our Success: A competitive cash/equity mix tailored to your needs, with the option for early exercise. Health & Wellness: Comprehensive health, dental, vision, and life insurance, along with pre-tax Health Savings Accounts featuring generous contributions. Time To Recharge: 4 weeks of paid time off (accrued), 12 company holidays, and additional time off for personal needs.

About UsNuro is at the forefront of self-driving technology, dedicated to making autonomy accessible for everyone. Established in 2016, we are developing the world’s most scalable autonomous driver, integrating advanced AI with automotive-grade hardware. Our proprietary technology, the Nuro Driver™, is licensed for diverse applications, including robotaxis, commercial fleets, and private vehicles. With a proven track record from years of successful self-driving deployments, Nuro provides automakers and mobility platforms a clear pathway to commercial-scale autonomous vehicles, fostering a safer, more connected future.The RoleAs a Senior Product Manager on our Product Team, you will drive pivotal initiatives that enhance our operations, ensuring the safe, efficient, and effective deployment of our Autonomous Vehicles. Your collaboration with Operations, Design, Engineering, Strategy, Business Development, and Legal teams will be crucial in realizing our mission.Key ResponsibilitiesUser-Centric Focus: Engage actively with Operators to understand their workflows, gaining firsthand insights that inform product development.Strategic Roadmapping: Utilize your expertise in commercial services to shape the Operations roadmap, prioritizing essential products to enhance operational safety and efficiency.Innovative Tool Development: Lead the design and implementation of groundbreaking tools that empower our Operations Team, significantly impacting the scale of vehicle operations.Effectiveness Amplification: Define and communicate product goals, identify problems and their root causes, and synthesize feedback to refine solutions. Establish metrics for success and innovate strategies to accelerate progress.QualificationsStrategic Insight: You prioritize product value and understand how each feature impacts both customers and the overall business.Analytical Mindset: You bring structure to complex systems, identifying critical principles that drive success.

About CyngnHeadquartered in Mountain View, CA, Cyngn Inc. is a pioneering publicly-traded company specializing in autonomous technology. We are at the forefront of deploying self-driving industrial vehicles such as forklifts and tuggers across factories, warehouses, and other facilities throughout North America. We seek innovative and driven leaders to join our team and advance this groundbreaking technology. If you are passionate about building, experimenting, and collaborating with a dedicated team, Cyngn offers the perfect environment for you. Reasons to join Cyngn include:A Dynamic Work Culture.With a team of fewer than 100 employees, Cyngn operates with the invigorating energy of a startup while being a publicly traded entity. This unique combination allows our employees to work closely with leaders and also benefit from the financial liquidity of our stock offerings.Immediate Impact.Our autonomous vehicles are not just prototypes; they are actively deployed with real clients today. This means your contributions will create a noticeable and significant impact.A People-First Approach.We pride ourselves on being a welcoming and diverse team of intelligent and compassionate individuals. Collaboration and trust drive our innovative atmosphere, where every team member's input is valued, fueling our continued advancement.Role Overview:We are expanding our Product Management team and are in search of a Senior Product Manager to spearhead the strategy and implementation of Cyngn Insight and Fleet Management, our essential software platform designed for the operation, monitoring, and scaling of autonomous vehicle fleets within production environments.This role encompasses the entire product lifecycle for Cyngn’s customer-facing autonomy platform, which includes fleet operations, telemetry, analytics, safety monitoring, workflow orchestration, and enterprise integrations. Cyngn Insight is vital for customers to deploy, manage, and derive value from autonomous vehicles on a large scale.You will be the primary product owner tasked with defining operational excellence for autonomy in real-world industrial contexts, ensuring our platform delivers on that promise. This position requires a strong grasp of autonomy software, cloud infrastructure, and enterprise operations, necessitating advanced systems thinking and problem-solving skills.

OverviewAt Google DeepMind, we believe that Artificial Intelligence can be a transformative force for humanity. Our diverse team of scientists, engineers, and machine learning specialists is dedicated to pushing the boundaries of AI technology for the greater good. We prioritize safety and ethics, collaborating on significant challenges to ensure that our innovations benefit society at large.About the TeamThe Agentic Red Team is a dynamic and fast-paced unit within Google DeepMind Security, committed to bridging the 'Agentic Launch Gap'—the critical period where groundbreaking AI capabilities exceed traditional security measures. Unlike conventional red teams, our approach is highly agile, working closely with product teams as both a consulting partner and an execution team. By leveraging foundational protections from Google Core, we focus on the unique risks associated with AI models and agents. Our rapid-response security engineering, combined with the development of 'Auto Red Teaming' techniques, enables us to swiftly convert findings into comprehensive defense strategies.Position SummaryAs the Security Lead for the Agentic Red Team, you will spearhead a specialized group of AI Researchers and Offensive Security Engineers dedicated to tackling adversarial AI threats and agentic exploitation. Acting as a technical player-coach, you will design intricate, multi-turn attack scenarios while fostering cross-functional collaboration with Product Area leaders and Google security teams to enhance launch criteria. Your role will be pivotal in advancing AI safety by integrating manual exploration with automated regression pipelines, ensuring that non-deterministic risks are effectively identified, analyzed, and mitigated prior to deployment.Key Responsibilities:Lead Agile Offensive Security: Oversee a specialized red team focused on timely, impactful engagements against production-level AI models and systems.Execute Complex AI Exploitation: Design and implement advanced attack sequences targeting vulnerabilities unique to Generative AI, including privilege escalation, data poisoning, and multi-turn prompt injections.Develop Automated Validation Systems: Partner with Google teams to create 'Auto Red Teaming' solutions that transition manual vulnerability findings into robust automated regression testing frameworks.Engineer Technical Countermeasures: Innovate defense-in-depth strategies and control systems to address agentic logic errors and unpredictable model behaviors.

About Logos Space Logos Space is building a proliferated Low Earth Orbit (pLEO) constellation to deliver high-performance connectivity for enterprise and government clients worldwide. The Navigation team designs and builds the software and infrastructure that support spacecraft timing, astrodynamics, orbit determination, and other navigation functions used in both flight and ground systems. Role Overview This GNSS Navigation Engineer - Orbit Determination Specialist position focuses on developing GNSS software that converts raw data into accurate navigation products for use in both onboard and ground-based systems. The work includes designing, implementing, and validating key GNSS measurement-processing features essential for the operation of the LEO constellation. Responsibilities cover building core GNSS software for onboard data ingestion, ground-based orbit determination, and supporting analysis and validation tools. Depending on experience, the role may involve leading or contributing to specific areas of the GNSS stack, such as observation modeling, correction ingestion, quality screening, residual analysis, replay, and estimator integration diagnostics. The team values engineers who are comfortable in a fast-moving setting, can turn ambiguous requirements into working software, and enjoy collaborating across disciplines. Main Responsibilities Develop and maintain proprietary C++ libraries for GNSS measurement processing, estimator integration, and navigation workflows. Create Python tools or bindings for analysis, testing, automation, and rapid debugging. Implement and validate observation models and preprocessing for code, carrier phase, Doppler, and timing or clock-related measurements. Develop interfaces for receiver telemetry and external navigation products, including broadcast and precise ephemerides, clocks, biases, atmospheric data, and correction information. Perform data quality screening, timestamp validation, cycle-slip detection, outlier rejection, residual analysis, and diagnostics. Contribute to EKF-based orbit determination and state-estimation pipelines by providing estimator-ready measurements, measurement models, noise models, and health metrics. Analyze innovations, residuals, covariance behavior, and consistency metrics. Location Mountain View or San Diego

P-1125 Summary At Databricks, we are committed to empowering data teams to tackle the world’s most challenging issues, from detecting security threats to advancing cancer drug development. Our mission involves constructing and operating the leading data and AI infrastructure platform, enabling our clients to concentrate on the critical challenges that define their objectives. Our engineering teams create sophisticated products that meet significant real-world needs. We continually push the frontiers of data and AI technology while ensuring resilience, security, and scalability—key elements for our customers' success on our platform. Customers entrust Databricks with their most sensitive data, and our Trust & Safety team is dedicated to crafting the most reliable data analytics and machine learning platform globally. Security Engineering plays a pivotal role in this mission, safeguarding customer data against malicious actors. We seek visionary leaders to shape the strategy and direction of this critical area. The impact you will have: Enhance the security of Databricks for our clients by identifying and addressing vulnerabilities within our infrastructure and services. Attract elite talent from across the industry. Serve as a prominent advocate for the security engineering discipline throughout the organization, making data-driven decisions. Represent Databricks at academic and industry conferences and events. What we look for: A minimum of 10 years of experience in Data Security or related fields, with expertise in two or more of the following areas: Cryptography, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Authentication, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, and Detection & Response. Proven experience in building systems at large-scale internet companies is a significant advantage.

Our PurposeAt SentinelOne, we are motivated by a clear purpose: to empower those who safeguard our future. As artificial intelligence transforms the landscape of how organizations operate and innovate, the imperative to protect them grows significantly. By joining SentinelOne, your contributions will help secure global enterprises, critical infrastructure, and pioneering technologies that will shape the future. If you are inspired by meaningful challenges and seek to make a tangible, global impact, you will find your purpose with us.About UsSentinelOne stands at the forefront of AI and cybersecurity, developing a revolutionary operating model for security solutions. Our AI-driven platform integrates protection across endpoints, cloud, identity, data, and AI systems, delivering autonomous detection and response with exceptional clarity and speed. By leveraging real-time analytics, intelligent automation, and a cohesive data foundation, we minimize noise, simplify complexity, and empower security teams to concentrate on what truly matters.Our teams consist of builders, problem-solvers, and innovators dedicated to advancing the future of security. If you are excited about tackling complex challenges alongside talented, mission-focused individuals, we invite you to help us construct a safer world for all.What Are We Looking For?We seek individuals who are endlessly curious and dedicated to continuous learning. AI is transforming every aspect of our business, and we equip all team members, regardless of their role or level, to develop proficiency in AI tools and concepts. Those who excel in our environment actively pursue new solutions, engage in thoughtful experimentation, and apply their insights to achieve better, faster, and smarter results.As a Commercial Account Executive, you will take ownership of the entire mid-market sales cycle, from prospecting and discovery to product demonstrations and final negotiations, consistently surpassing revenue targets. You will strategically collaborate with resellers and channel managers to implement go-to-market strategies and expedite new client acquisition. By cultivating in-depth expertise of our platform and fostering relationships with C-level executives, you will serve as a trusted advisor, prioritizing customer needs to ensure long-term success.What Will You Do?Drive revenue growth across your assigned territory through a mix of inbound leads and outbound prospecting.

OverviewAt Google DeepMind, we believe that Artificial Intelligence has the potential to be one of humanity's most transformative innovations. Our dedicated team of scientists, engineers, and machine learning specialists collaborates to push the boundaries of AI, employing our technologies for the greater good and promoting scientific advancements while prioritizing safety and ethical considerations.About UsThe Agentic Red Team is a dynamic and specialized unit within Google DeepMind Security, tasked with addressing the 'Agentic Launch Gap'—a critical phase where new AI capabilities exceed conventional security assessments. Unlike traditional red teams that merely report findings, we work integratively with product teams, acting as both consultants and an agile exploitation team. Our unique approach allows us to join high-priority launches quickly, leveraging foundational protections from Google Core to concentrate on risks at the model and agent layer.Your RoleAs a Senior Security Engineer on the Agentic Red Team, you will spearhead our adversarial engagements, working closely alongside product developers to identify architectural vulnerabilities during the design phase—long before formal reviews take place.Your primary responsibility will be to execute sophisticated, multi-turn attacks on operational AI models, specifically targeting agentic behaviors such as tool utilization and reasoning chains. You will not only discover vulnerabilities but will also contribute to the development of 'Auto Red Teaming' frameworks and defensive methodologies, ensuring that your insights are transformed into reusable protections for Google agent developers.Key Responsibilities:Conduct Agile Red Teaming: Perform rapid, impactful security assessments on agentic services, focusing on vulnerabilities inherent to GenAI, including prompt injection and tool-use escalation.Design Advanced Exploits: Develop and execute intricate attack sequences that exploit non-deterministic model behaviors, logic errors, and data poisoning vulnerabilities.Create Automated Defenses: Write code that converts manual vulnerability findings into automated regression testing frameworks ('Auto Red Teaming') that safeguard against future model regressions.Integrate with Product Teams: Collaborate closely with developers during the design and implementation phases to provide immediate feedback, effectively reducing the time to identify and address security issues.

We are seeking a skilled and strategic Data Operations Manager to join our dynamic team at bespokelabs. In this role, you will oversee and optimize our data management processes, ensuring accurate data flow and efficient operations. You will lead a team dedicated to enhancing our data infrastructure while collaborating with cross-functional departments to drive insights from our data assets.

Join idme as an Account Manager for Communities in the West Region, where you'll play a pivotal role in fostering relationships with our community partners. Your expertise will help us to enhance user engagement and deliver exceptional value to our community initiatives.

About Waymo Waymo began as the Google Self-Driving Car Project in 2009 and focuses on building autonomous driving technology. The company’s core product, the Waymo Driver, powers a fully autonomous ride-hailing service and adapts to different vehicle platforms and use cases. Waymo’s vehicles have completed over ten million rider-only trips and driven more than 100 million miles autonomously on public roads, with additional simulation experience across more than 15 U.S. states. The goal: safer mobility and greater access for all. Role Overview: Software Engineer, Strategic SWE Reserve The Software Engineering team at Waymo designs and builds the software that enables the Waymo Driver to perceive its environment, make real-time decisions, and safely transport passengers. Engineers here work on complex challenges in robotics, perception, decision-making, and deep learning. Collaboration with hardware and systems engineers is a key part of the role. This position suits software engineers or researchers interested in advancing Level 4 autonomous driving technology. Locations Mountain View, California, USA San Francisco, California, USA

At Reliable Robotics, we are pioneering innovative safety technologies for the aviation sector, with a mission to save lives. Our automated aviation systems promise a future where air travel is not only safer but also more efficient, fundamentally changing the way goods and eventually people are transported globally. Our diverse team of dedicated engineers, experienced in aerospace, robotics, and autonomous vehicles, is committed to turning this vision into reality.As part of our Flight Software division, you will be at the forefront of Reliable’s autonomy initiatives, developing critical embedded flight software, advancing next-generation detect-and-avoid technologies, communication systems, FPGA designs, and robust simulation and testing environments. Our team plays an integral role in the development and certification of the Reliable Robotics autonomy framework, contributing significantly to the operation of our aircraft.Key ResponsibilitiesIn the role of Flight Software Manager, you will lead and cultivate a team that is responsible for the safety-critical software that enables our aircraft to operate. You will be responsible for enhancing engineering processes, balancing immediate execution with formal DO-178C verification, and facilitating the rapid integration and testing of GNC algorithms, while architecting software for certification.You will provide expert technical and architectural direction on flight software components, including flight controls and redundancy management. Collaborating closely with leads across Guidance, Navigation, and Controls (GNC), Avionics, Systems, and Hardware, you will develop and execute technical roadmaps, prioritize tasks, and empower your team to deliver robust, reliable, and certifiable flight software that enables advanced autonomy.