Top Engineering Jobs

Develops and improves aerospace suppliers producing harness assemblies and electronic components. Leads supplier onboarding, new-product industrialization, process capability, quality, capacity, and delivery improvements across engineering teams and contract manufacturers. Applies PPAP, RCCA, fishbone analysis, process mapping, and 5S to resolve production challenges and scale manufacturing. Requires extensive supplier development experience and international travel up to 50%.

Mechanical Engineering Intern will design, prototype, and validate test stands, tooling, and fixtures for autonomous UAV components and subsystems. Responsibilities include requirements gathering, environmental test equipment design, facilities specification, and cross-functional design reviews. The intern will support mechanical development for X-BAT and V-BAT aircraft while contributing to improved testing processes.

Own engine calibration and performance for reciprocating engines powering the V-BAT platform. Define and execute dynamometer, bench, and flight-test plans; tune ECU fuel mapping, ignition timing, and injector phasing; analyze torque, power, and fuel-consumption data; troubleshoot engine test issues; validate performance against requirements; and support propulsion modeling, calibration documentation, design reviews, and cross-functional engineering decisions.

Lead architecture and implementation of ServiceNow’s AI Control Tower, an enterprise platform for governing AI models, agents, and datasets. Drive products from 1.0 through customer adoption, establish scalable cloud-native and distributed systems foundations, guide AI-native engineering practices, mentor engineers, conduct architecture reviews, and coordinate with product, design, and partner engineering teams. The role requires hands-on technical leadership across SaaS architecture, data platforms, observability, reliability, security, and enterprise AI infrastructure.

Build and scale Moveworks’ multi-region, multi-cloud AI infrastructure and developer platform. Design secure, resilient, observable, and cost-efficient cloud environments; automate provisioning with infrastructure as code; manage CI/CD pipelines and Kubernetes deployments; support disaster recovery and security improvements; and lead complex platform initiatives from conception through delivery.

Build and scale Moveworks’ multi-cloud AI infrastructure and developer platform. Design secure, resilient, observable, and cost-efficient cloud environments; create automated CI/CD pipelines and infrastructure-as-code workflows; manage Kubernetes and networking; support disaster recovery and security improvements; and lead complex platform initiatives from conception through delivery.

Develop and maintain embedded software for aerospace products through the full software lifecycle. Responsibilities include requirements analysis, design, C++ coding, testing, deployment under DO-178B guidelines, Linux application porting, documentation, and collaboration with cross-functional teams. The role focuses on real-time concurrent execution, multicore environments, OS synchronization, and Linux scheduling algorithms.

Designs, develops, tests, debugs, and maintains embedded software for aerospace avionics systems. Collaborates on software requirements, architecture, hardware integration, and certification activities while following DO-178 processes. Supports high-quality deployment of safety-critical systems, including EGPWS and related terrain-awareness technologies. The role is hybrid in Phoenix, with full-time onsite work required during the first 90 days and travel up to 10%.

Develop and test safety-critical embedded C++ software for aerospace flight display systems. Responsibilities include requirements, design, coding, testing, deployment under DO-178B, Linux application porting, documentation, and collaboration with cross-functional teams. The role requires addressing real-time concurrent execution in multicore environments and supporting high-quality, reliable avionics products from a hybrid Phoenix location.

Build cloud-native, real-time AI-powered fraud decisioning and remediation systems. Partner with Data/ML scientists and engineering teams to integrate AI, benchmark solutions, automate operations, and monitor production services at scale.

Develop and optimize high-performance network datapath software for cloud infrastructure. Build packet processing, routing, forwarding, load balancing, observability, and hardware-accelerated networking across Linux hosts, kernels, user space, NICs, DPUs, and SmartNICs. Diagnose production performance issues, create testing and benchmarking frameworks, author technical designs, collaborate across infrastructure teams, and mentor engineers.

Design, develop, and optimize high-performance network datapath software for cloud infrastructure. Build packet-processing, forwarding, routing, filtering, tunneling, load-balancing, observability, and hardware-accelerated networking solutions. Analyze and improve throughput, latency, CPU efficiency, scalability, and reliability across Linux, kernel, user-space, and hardware systems. Lead technical designs through production, investigate complex networking issues, write architecture documentation, collaborate across engineering teams, and mentor engineers.

Design, develop, optimize, and operate high-performance network datapath software for cloud infrastructure. Build packet-processing, routing, forwarding, virtualization, observability, and hardware-accelerated networking systems across Linux hosts, kernels, user space, NICs, DPUs, and SmartNICs. Investigate production performance issues, develop testing and benchmarking frameworks, author technical designs, collaborate across infrastructure teams, and mentor engineers.

Develops secure, scalable software solutions for JPMorganChase’s Payments Technology team. Responsibilities include coding, system design, testing, troubleshooting, architecture documentation, data analysis, and operational stability. The role uses authorized AI-assisted development tools while validating outputs for correctness, performance, security, and responsible data handling. Candidates need 3+ years of applied software engineering experience, knowledge of SDLC and agile practices, and experience with modern programming and database query languages. AWS certifications and Terraform experience are preferred.

Leads engineering and operational excellence for enterprise storage services across on-premises and cloud environments. Responsibilities include incident response, SLO and SLI ownership, performance tuning, capacity planning, disaster recovery testing, automation, observability, infrastructure support, and AI-assisted operational tooling. Partners across infrastructure and application teams to improve reliability, resiliency, security, and auditability while participating in on-call operations.

Build and operate container platforms, CI/CD pipelines, artifact repositories, and infrastructure using Docker, Kubernetes, Artifactory, Terraform, and Linux. Support MySQL, Kafka, observability, load balancing, resiliency, disaster recovery, and production operations. Automate provisioning and remediation workflows while partnering with application, security, and infrastructure teams to improve platform stability, scalability, security, and delivery practices.

Develop and scale software for BlackRock’s Aladdin Graph platform using Java, Python, or Golang. Build API, event, distributed storage, search, messaging, and containerized infrastructure; troubleshoot Linux production issues; and contribute to API governance, gRPC services, Protocol Buffers, developer tooling, and high-quality distributed systems.

Provides advanced hardware support for Arm-based AI compute platforms across lab and data center environments. Leads troubleshooting, hardware bring-up, component validation, firmware interaction testing, system failure diagnosis, root cause analysis, qualification, and deployment. Develops troubleshooting documentation, collaborates with engineering and infrastructure teams, mentors junior staff, and participates in on-call support during critical hardware milestones.

Provides advanced operational, diagnostic, and engineering support for Arm-based AI hardware platforms across lab and data center environments. Leads hardware bring-up, validation, break-fix troubleshooting, root cause analysis, and qualification for server blades, racks, power systems, and infrastructure. Diagnoses thermal, power, networking, BIOS, and BMC issues; develops documentation; collaborates with engineering and facilities teams; mentors junior staff; and supports on-call hardware milestones.

Design and implement a distributed query optimization system for MongoDB. Research query systems, architect features, write and review production-quality C++ code, debug large codebases, coordinate cross-team integrations, and mentor engineers while shaping long-term roadmap and performance improvements.

Lead distributed engineering teams responsible for enterprise Engineering Enablement platforms and services. Set strategy and roadmaps for platform technologies, AI-assisted development tools, and developer workflows. Drive scalability, reliability, adoption, operational excellence, and enterprise standards while mentoring employees and contractors. Partner with technology, product, and engineering leaders, establish success metrics, and champion documentation, training, and responsible adoption of AI-enabled engineering practices.

Administer and maintain enterprise PostgreSQL, MySQL, and Oracle databases on Linux and AWS. Monitor performance and availability, resolve operational issues, execute maintenance, manage backups and recovery, tune queries, administer security, automate recurring tasks with shell scripts and Terraform, support migrations and development teams, and participate in disaster recovery and on-call activities.