Top Engineering Manager Jobs

Leads NVIDIA’s DSX Software Engineering and Controls teams, overseeing engineers and managers while directing architecture and delivery of software, APIs, automation, telemetry, monitoring, and industrial control systems for AI factories. The role coordinates software, hardware, infrastructure, operations, and external partners; establishes release readiness through simulation, integration testing, and hardware validation; and develops reusable deployment and integration solutions.

Lead and grow a team of security software engineers building and operating large-scale Entra ID identity and access services. Responsibilities include hiring and coaching engineers, providing technical leadership across architecture, design, development, code reviews, security, and quality, supporting live-site operations, and partnering with product and engineering stakeholders to deliver services. The role requires software engineering experience, online service operations, people management, cybersecurity expertise, and Azure or Entra ID solution design experience.

Leads engineering execution for electronic warfare programs, serving as the engineering focal point across proposals, staffing, risk management, technical planning, schedules, budgets, and requirements. Coordinates multidisciplinary engineering teams, program managers, customers, subcontractors, and factories. Requires defense hardware development experience, complex electronic systems expertise, Design to Cost knowledge, and an active Secret clearance.

Leads engineering execution for defense electronic warfare programs, including strategic planning, proposals, staffing, risk management, technical scope, schedules, budgets, and project plans. Coordinates multidisciplinary engineering teams, program managers, subcontractors, customers, and factories. Requires experience with complex electronic systems, hardware development, defense programs, product verification, Design to Cost, and active Secret clearance. Preferred qualifications include EVMS, cost account management, and military EO/IR product development.

Lead and manage the GPU Communications Libraries team at NVIDIA, overseeing project execution, quality, and library performance while collaborating with partners and stakeholders.

Manage a team developing accelerated image and data compression libraries. Define project goals, roadmap, and scope; ensure execution and delivery; elevate engineering practices; collaborate with internal and external customers and the open-source community while fostering an inclusive, innovative environment.

Lead product launch strategy and go-to-market plans for NVIDIAs Computational Engineering products. Drive messaging, positioning, and enablement assets; align sales, partners, and engineering; create content (blogs, whitepapers, webinars, demos); present product value to diverse audiences and support product adoption and growth.

Lead NVIDIA’s agentic developer platform strategy and execution. Build scalable platform capabilities from emerging agent patterns, including RAG, vector databases, evaluation systems, governance, safety tooling, and GPU-optimized workflows. Integrate the AI Data Platform with NVIDIA’s on-prem AI Factory, improve distributed inference performance, and establish controls for data lineage, compliance, and Responsible AI. Grow a high-performing engineering team and drive adoption of reusable APIs, SDKs, components, and reference implementations across the company.

Manage NVIDIA’s HPC compiler engineering team, overseeing compiler and performance engineers, setting objectives, mentoring leaders, improving development processes, and communicating team vision. Lead development of optimizing compilers supporting Python, C++, Fortran, OpenACC, and OpenMP, with emphasis on GPU code generation, compiler performance, and high-performance computing applications.

Lead and mentor engineering teams in the JAX ecosystem, ensuring peak performance across NVIDIA hardware, and promote collaboration across departments to enhance AI platforms.

Leads NVIDIA’s Molecular Dynamics Simulation Engineering team, managing engineers who build GPU-native scientific simulation software. Owns technical vision, architecture, roadmap, cross-team dependencies, production delivery, CI/CD, validation, documentation, hiring, and team development. Partners with applied scientists and external communities to convert research prototypes into benchmarked, production-quality software for molecular dynamics and biological discovery.

Leads the architecture, development, and productionization of scalable data and AI platforms for supply chain operations. Responsibilities include building cloud-native data pipelines, AI agents, RAG applications, data models, observability frameworks, and GenAI foundations. The role manages and mentors engineering teams, oversees delivery across concurrent initiatives, partners with business and technical stakeholders, and provides hands-on technical leadership from discovery through production rollout.

Manage customer enablement engineers supporting NVIDIA Cumulus Linux and data center networking solutions. Lead customer engagement, complex support cases, defect analysis, regression coverage, testing, roadmap alignment, and cross-functional collaboration. Develop engineers, manage a team, communicate with executives and customers, and help qualify network operating system software. The role requires extensive software quality engineering, networking protocols, scripting, Linux, test tools, and management experience.

Lead the Cumulus Linux development team, focusing on core infrastructure services and software features while managing people and collaborating with cross-functional teams.

Lead and grow the Isaac Manipulation engineering team to deliver production-grade robotic manipulation capabilities. Define roadmap, bridge research and product, partner with OEMs and developers, leverage NVIDIA GPUs/CUDA/PyTorch and simulation for sim-to-real learned policies, and drive delivery of manipulation stacks onto physical robots.

Lead and coach a storage production engineering team to design, deploy, and operate large-scale storage systems. Own capacity planning, lifecycle management, HA/disaster recovery, automation, monitoring, incident response, and partnerships with engineering and AI teams to improve data pipelines and performance.

Leads a regional engineering team overseeing capital projects across multiple manufacturing sites. Responsibilities include portfolio management, project planning, design, procurement, contracts, scheduling, cost control, quality, safety, environmental compliance, infrastructure maintenance, and turnaround support. The manager collaborates with site leadership and procurement teams, develops engineers and project managers, ensures projects meet authorized budgets and schedules, and supports safe, reliable plant operations.

Leads Firestorm’s mechanical engineering organization for sUAS airframes, structures, mechanisms, packaging, and integration hardware. Sets technical standards, oversees design reviews and change control, and partners with manufacturing and quality on producibility and production transitions. Manages hiring, development, performance, and compensation for a multidisciplinary team while coordinating engineering execution across programs. Requires deep mechanical design expertise, aerospace or hardware-industry experience, and substantial people-management experience.

Leads and scales EMEA Solutions Engineering, defining go-to-market strategy, coaching teams, supporting complex enterprise sales cycles, and delivering tailored AI platform solutions. Responsibilities include technical discovery, architecture, demonstrations, proofs of concept, business value assessments, executive customer engagement, reusable solution frameworks, verticalized assets, forecasting, and influencing product strategy. The role is a player-coach position requiring close collaboration with Sales, Product, Marketing, Engineering, Services, and Success.

Leads Mid Market and Enterprise Solutions Engineering teams across North America. Defines go-to-market strategy, scales and coaches high-performing teams, supports complex enterprise sales cycles, and provides technical guidance through architecture, demonstrations, proof-of-concepts, and business value assessments. Partners with Sales, Product, Marketing, Engineering, and Services to develop verticalized solutions, influence product strategy, engage executive customers, and deliver measurable outcomes using AI-driven customer support products.

Leads Docker’s Forward Deployed Engineering program by defining delivery standards, quality metrics, operating rhythms, and engagement processes. Tracks customer and engineering commitments, manages dependencies and capacity planning, surfaces risks, communicates with executives, improves cross-functional collaboration, and mentors junior technical program managers. The role supports enterprise customers and requires strong knowledge of cloud platforms, containers, software delivery, and metrics-driven program management.

Leads cloud engineering efforts for a residential property management and homebuilding company. The provided description does not include specific responsibilities, technologies, or qualification details.

Leads systems engineering teams developing high-throughput file, block, and object storage for AI cloud infrastructure. Drives architecture, performance tuning, latency optimization, benchmarking, and 10x scaling across distributed storage systems. Provides technical mentorship, performance management, recruitment, and cross-functional leadership while maintaining a coding-focused culture and maximizing GPU utilization.

Lead and grow an enterprise data engineering team while owning the Snowflake and Airflow platform roadmap. Build reliable, governed data products and modernize pipelines using AI-assisted and agentic workflows. Establish standards for quality, observability, lineage, cost efficiency, incident response, and documentation while partnering with Analytics, Data Science, Product, and business stakeholders.

Leads global engineering teams developing Private AI products and services, integrating with vSphere, NSX, and vSAN. Owns platform reliability, security, lifecycle management, SDLC execution, and day-two operations. Defines Broadcom’s upstream contribution strategy and represents the company in the Kubernetes and CNCF ecosystems. Requires deep Kubernetes expertise, significant open-source influence, distributed-systems experience, and global engineering leadership.