Top Senior Software Engineer Jobs

Leads software engineering within an agile banking technology team. Designs, develops, secures, tests, troubleshoots, and operates scalable applications using Python, Java, Spring, and AWS. Reviews code, improves automation and operational resilience, promotes responsible AI-assisted engineering practices, and evaluates architectural solutions with vendors and internal teams. The role requires strong cloud-native development, CI/CD, web security, system design, and production support experience.

Lead software engineering for secure, reliable, scalable enterprise applications. Responsibilities include designing and delivering production code, troubleshooting complex issues, leading resiliency reviews and major incident response, improving application performance and stability, establishing service level indicators and objectives, reducing operational toil, and guiding engineers on modern technologies, cloud-native architecture, automation, observability, containers, and continuous delivery.

Leads architecture, design, and implementation of secure, scalable SDLC developer platform capabilities focused on SCM. Builds Java and Python solutions, designs AWS cloud architectures, implements Terraform infrastructure, integrates development tools, automates workflows, manages incidents, and collaborates with internal teams and vendors to improve platform reliability, resilience, governance, and developer productivity.

Leads architecture, development, and operation of secure, scalable SCM and developer platform capabilities. Builds Java and Python services, designs resilient AWS architectures, implements Terraform infrastructure, integrates enterprise development tools, automates workflows, and manages incidents. Partners with internal teams and vendors to deliver platform roadmaps, improve developer productivity, and strengthen reliability, governance, and security across a global engineering organization.

Lead software engineering for JPMorganChase’s eTrading team by designing, developing, testing, debugging, and operationally stabilizing secure, scalable C and C++ applications. Provide technical direction, influence architecture and product decisions, promote software development lifecycle practices, and serve as a subject matter expert. Drive responsible adoption of AI-assisted engineering tools, including code review, testing, troubleshooting, and automation, while ensuring security, correctness, and performance.

Build and maintain backend platform systems that connect digital banking software with core banking systems. Develop reliable, performant APIs and support account and transaction data integrity, real-time transaction alerts, transfers, and payment settlement workflows. The role requires collaboration on complex financial integrations and may involve Python, Django, infrastructure automation, and Linux administration.

Lead software engineering for JPMorganChase’s Payments Trust & Safety Technology Team, developing secure, scalable fraud-protection solutions. Responsibilities include system design, full-stack development, code review, performance monitoring and optimization, automated benchmarking, troubleshooting, and stakeholder influence. The role also leads responsible adoption of AI-assisted engineering tools, establishes validation standards, and coaches teams on secure, compliant AI use. Required expertise includes React, TypeScript, Java, Spring Boot, microservices, AWS, databases, CI/CD, resiliency, security, and financial-services technology.

Build and operate production backend services supporting Supabase AI products, including the MCP server. Responsibilities include service architecture, deployments, scaling, authentication and authorization, observability, reliability targets, on-call incident response, rate limiting, capacity management, and API evolution. The role requires strong TypeScript or Go skills, production backend experience, distributed-systems debugging, and collaboration with Platform and SRE teams in a fully remote environment.

Lead pre-silicon system software bring-up and validation on simulation platforms. Develop automation, tools, and workflows to improve simulation-based development, debug complex cross-stack issues, enable teams to use virtual platforms, and drive platform readiness for new chips in early-development environments.

Build and maintain customer-ready Linux distributions, installation images, packages, and release processes for NVIDIA AI-RAN and AI products. Integrate NVIDIA software, drivers, and third-party components into Ubuntu and RHEL. Develop build automation and CI/CD pipelines, configure and validate Linux kernels and BSPs, troubleshoot platform integration issues, and collaborate with enterprise Linux and silicon vendors.

Design and develop low-level kernel drivers and embedded software for NVIDIA data center GPUs. Responsibilities include cross-platform Linux and Windows support, hardware initialization, device management, reset capabilities, telemetry, memory management, clock, thermal and power management, and performance optimization. The role collaborates with software, hardware, architecture, and OEM teams to support current products and develop next-generation GPU features.

Lead architecture and development of reliable, scalable distributed storage services for AI/ML. Build and maintain Go applications, containers, bindings, and CLI tools deployed on Kubernetes. Enhance availability, automate deployment and monitoring, and collaborate with research, product, engineering, and customers. Requires ownership of enterprise software throughout its lifecycle, with experience in distributed systems, cloud services, storage interfaces, and large-scale deployments.

Develop platform software for SOCs, including drivers, BSP, CI/CD automation, OS and multimedia driver bring-up, debugging, and system-level triage. Collaborate with OEMs and global engineering teams across the full product lifecycle from pre-silicon modeling through production. Contribute to architecture definition, boot, security, reliability, resiliency, and embedded-system software for Windows and Linux platforms.

Design, implement, and operate large-scale observability and telemetry platforms focused on performance, reliability, monitoring, logging, and alerting. Manage services throughout their lifecycle, including system design, deployment, capacity planning, automation, incident response, and postmortems. Build infrastructure tools and frameworks for private and public cloud systems, improve availability and latency, and participate in on-call support for production environments.

Design, develop, integrate, test, and productize perception software for autonomous driving systems. Responsibilities include implementing robust and reusable software components, deploying deep neural network models to embedded real-time platforms, developing verification plans, debugging systems, maintaining documentation, and analyzing real or synthetic benchmark data. The role requires close collaboration with perception engineers and researchers throughout the software development lifecycle.

Architect and develop scalable SaaS, web APIs, SDKs, CLIs, and AI-assisted developer tools for coding, debugging, profiling, and CUDA optimization. Collaborate with Product, Design, and engineering teams to define features, improve cloud infrastructure, and deliver reliable services for concurrent developers. Mentor engineers and review code and designs while applying Kubernetes, AWS, infrastructure as code, DevOps, Python, virtualization, and GPU profiling expertise.

Develop platform software using container runtimes and Kubernetes to enable GPU-accelerated applications. Build GPU resource support for container orchestrators, integrate software across NVIDIA’s technology stack, and contribute to cloud-native systems. The role requires systems programming, Linux internals, distributed systems, cloud computing, and performance, security, and reliability expertise. Responsibilities include solving complex problems, managing multiple priorities, and collaborating across engineering teams.

Develop and lead production software-defined networking for NVIDIA’s global GPU cloud infrastructure. Design multi-tenant control and data planes using Open vSwitch, OVN, OpenFlow, Kubernetes, C, and Go. Build networking services, plugins, automation, testing, observability, and reliability improvements. Lead architecture and code reviews, mentor engineers, support on-call operations, and resolve complex production incidents through diagnostics and source-level debugging.

Develop low-level software for NVIDIA NVLink Fusion, including kernel-mode drivers, embedded firmware, and microcode. Lead features through architecture, pre-silicon verification, silicon bring-up, validation, production, and partner deployment. Build tests and diagnostics, debug hardware-software issues, and collaborate with architects, ASIC designers, firmware teams, validation engineers, and external partners. Use C, C++, and scripting languages while contributing to design reviews, release management, and software quality.

Develop application software architecture for autonomous-vehicle perception and sensor-fusion systems. Integrate and tune NVIDIA solutions in target vehicles, lead bring-up activities, troubleshoot system issues, analyze in-vehicle and simulation data, and optimize hardware-software performance. Collaborate with architecture, development, partner, and global engineering teams to deploy scalable autonomous-driving solutions.

Lead hands-on storage software engineering for large-scale GPU clusters. Contribute to open-source parallel and distributed file systems, write and review production code, troubleshoot I/O, metadata, corruption, and recovery issues, validate performance and durability through scale testing, and establish configuration and operational standards. Collaborate with AI, SRE, networking, security, cloud, and storage teams while supporting high-performance storage across cloud, neocloud, and on-premises environments.

Design, develop, support, and optimize LensCore, Snap’s C++ AR engine for Specs, Snapchat Lenses, and Lens Studio. Collaborate with teams to deliver features to Lens creators, participate in planning, and create technical specifications. The role requires strong C++ development, rendering or 3D engine experience, AI-assisted development, and familiarity with scripting, Linux, and command-line tools.

Develop and ship high-performance iOS applications and camera experiences for Snapchat. Responsibilities include designing and implementing tested Objective-C software, launching features, evaluating technical tradeoffs, collaborating with Design, conducting code reviews, and using AI tools while maintaining strong standards for correctness, security, performance, and scalability.

Develop and launch scalable Android features from design through implementation, creating smooth and stable user experiences. Evaluate technical tradeoffs, collaborate with design, conduct code reviews, and maintain high standards for correctness, security, performance, and production readiness. Use Kotlin, Java, RxJava, Dagger, and AI-assisted development tools. The role requires substantial software development experience and Android application expertise.

Develop scalable distributed storage management systems for NVIDIA’s large-scale engineering infrastructure. Collaborate with hardware and software teams to define features, optimize workflows, improve software design and testing, and deliver reliable storage solutions. The role requires Linux, storage systems, networked distributed systems, Perl, and Python expertise, with responsibility for architectural decisions balancing cost, performance, reliability, and scalability.