Top Software Engineer Jobs

Build and ship end-to-end features for AiPrise’s compliance orchestration and AI agent platform. Develop REST APIs, microservices, data pipelines, case management workflows, vendor integrations, and customer-facing tools. Write tested, documented code; participate in reviews; debug production issues; improve performance, reliability, and observability; and collaborate with product, compliance, and customer success teams.

Develop highly reliable full-stack software and applications used across SpaceX. Responsibilities include designing systems, building prototypes, solving user problems, contributing to architecture and code reviews, and owning software engineering and product development. The role involves improving application performance, testing, deployment, monitoring, in-stream data processing, containerized production systems, front-end applications, and database technologies.

Develop highly reliable full-stack software and mission-critical applications for SpaceX operations and flight systems. Responsibilities include designing software architectures, building prototypes and applications, improving performance, solving user problems, and participating in design and code reviews. The role involves end-to-end software ownership, web application development, testing, deployment, monitoring, streaming data, databases, containerization, and infrastructure management.

Develop reliable full-stack software and mission-critical applications used across SpaceX. Responsibilities include creating new applications, prototyping architectures, owning software and product development, solving user problems, and participating in architecture, design, and code reviews. The role involves building scalable systems for aerospace manufacturing, launch operations, and Starlink, with emphasis on testing, deployment, monitoring, performance, and collaboration.

Hands-on senior frontend engineer to set architecture and technical direction for a TypeScript/React/Next.js platform. Own design for data-access, performance, monorepo standards, and CI; diagnose memory and render issues; lead design reviews, mentor a team of ~6, and work with backend, product, and users to translate requirements into scoped work.

Design, develop, and maintain secure, production-grade Python/Django applications and REST APIs; implement AuthE authentication patterns (OAuth/OIDC/SAML) for external users; build analytics and visualizations from large datasets; use AI-assisted development tools to accelerate delivery; ensure operational stability, CI/CD, and secure coding practices.

Lead design and implementation of a petabyte-scale unified virtual memory and system software stack for accelerator-based large-scale clusters. Build custom allocators, runtimes, schedulers, and Linux kernel/driver components. Integrate and optimize HPC workload managers, ensure high-throughput resource management, and remove kernel-space bottlenecks for massive parallel jobs.

Build and maintain Leland’s platform and foundational infrastructure while collaborating with product, design, and engineering teams. Develop high-quality, performant code, propose product innovations, and ensure quality through testing and code reviews. Contribute to an inclusive, collaborative team culture and help shape products in a fast-paced, AI-native startup environment.

Build Android SDKs and end-user applications that collect sensor data, provide real-time feedback, and support indoor item positioning. Integrate mobile software with RFID scanners, barcode readers, peripheral hardware, and third-party systems. Drive complex projects end to end, contribute across the product lifecycle, and collaborate autonomously with business stakeholders. Emphasize maintainable, performant mobile architecture, correctness, intuitive user experiences, and potentially backend development, testing, and enterprise SDK support.

Build end-to-end mobile, web, backend, data, and infrastructure features for Cartesian’s indoor inventory positioning platform. Develop applications for retail associates, internal research, and business teams; create APIs, dashboards, datasets, and scalable services. Manage cloud infrastructure with Kubernetes, Helm, and Terraform, while improving CI/CD and architecture. Collaborate directly with customers and users, test on physical devices, and autonomously drive projects from prioritization through delivery.

Develop and maintain low-latency, high-performance proprietary trading systems. Participate in full SDLC: design, implement, test, and deploy trading applications. Collaborate with teammates, follow coding standards, write automated tests, and learn trading fundamentals through the Belvedere Trading University program.

Work with full-time engineers to design, implement, test, and deploy low-latency, high-performance trading software. Collaborate in teams, participate in the firms BTU learning program, debug complex trading applications, communicate project updates with managers, and apply AI tools to improve development efficiency.

Build full-stack features for a real-time collaborative content platform, spanning backend services, APIs, and frontend systems. Design and implement maintainable, well-tested software; contribute to architecture and technical decisions; collaborate with product and design; integrate AI into development and product workflows; participate in code reviews; and help establish engineering quality standards on an early-stage team.

Twelve-week, in-person software engineering internship in San Francisco. The intern will own and ship a meaningful product or infrastructure project, potentially involving search quality, data sources, LLMs, internal tools, developer experience, testing, or user experiences. Responsibilities include building alongside engineers, learning the technology stack, seeking feedback, and presenting completed work. The role includes manager and mentor support, cohort programming, and a $60 hourly wage plus housing or relocation support.

Develop end-to-end full-stack software and systems from architecture through production. Build object-oriented, multi-process and threaded applications on Linux/RHEL platforms; apply test-driven development, DevSecOps, cybersecurity practices, and STIG hardening. Collaborate in Agile teams, improve system architecture, maintain RHEL configurations, and support client missions. Preferred work includes CI/CD, Docker, Jenkins, microservices, ML evaluation, fused-sensor systems, geospatial data, embedded systems, hardware acceleration, and API integration.

Develop and maintain C#/.NET desktop applications, libraries, user interfaces, and manufacturing support software for motion-control products. Collaborate with engineers to debug complex issues, implement features, test functionality, document solutions, and support the full software development lifecycle. The role also includes short-term engineering rotations and requires adapting to different technologies and project contexts.

Designs and develops enterprise software applications, integrations, database solutions, reports, and data-driven tools using .NET technologies, SQL, and related platforms. Supports development infrastructure, automated testing, business intelligence, and software quality initiatives. Collaborates with engineers to troubleshoot complex issues and deliver new features. The role includes rotations through related engineering departments as part of an employee development program.

Develop and maintain software and analytics for an enterprise cybersecurity tool, emphasizing automated security authorization, continuous monitoring, data gathering, and reliable data delivery. Responsibilities include Pig and PySpark development, database queries, software design, debugging, testing, documentation, performance improvement, data investigation, and integration. The engineer will collaborate within a Scrum team and review data ingestion tickets and code changes.

Design, implement, and optimize low-latency C++ trading applications and infrastructure. Collaborate with traders, quants, and engineers to build production-ready systems, maintain proprietary quoting and pricing tools, analyze diagnostic data, and gradually assume production ownership with mentorship.

Develop and maintain cloud-native platform services, backend APIs, microservices, and enterprise integrations. Build identity, authentication, and access management solutions using secure software engineering practices. Collaborate with architects, engineers, and product stakeholders to troubleshoot issues, improve performance, and deliver scalable platform capabilities. Use technologies including Java, Spring Boot, Python, Terraform, Docker, Angular, and AWS while supporting CI/CD and DevOps practices.

Software engineering interns will convert radar algorithm prototypes into applications, develop automated testing tools, modernize legacy code, and participate in the full software development lifecycle. They will learn radar, remote sensing, and electro-optical technologies while collaborating on design, implementation, code reviews, testing, documentation, deployment, and maintenance for government mission systems.

Build and maintain scalable backend platform systems supporting contracts, payouts, fraud prevention, identity, and access management. Develop reliable infrastructure, improve security and developer experience, translate operational needs into backend services, and contribute across high-priority platform initiatives. The role requires strong ownership, architectural judgment, and the ability to deliver practical systems amid ambiguity.

Develop and maintain simulation scenarios, analytical tools, and applications supporting aerospace defense warning and assessment systems. Analyze requirements, write and test software, develop scientific and mathematical models, support agile development, document verification and validation activities, and present results. The role interfaces with government stakeholders, vendors, test personnel, and operational organizations while supporting DevSecOps, databases, virtualization, and containerization across mission-critical systems.

Design and develop scalable, high-performance data and API infrastructure for real-time processing. Mentor engineers and collaborate with teams to enhance AI model evaluations.

The role involves designing and building data pipelines for analyzing user feedback on AI models, ensuring data quality and infrastructure scalability.