Top Software Engineer Jobs

Build and operate large-scale audio data pipelines for AI model training. Responsibilities include discovering audio data sources, developing reliable data-processing systems, optimizing quality, throughput, and cost, and collaborating with AI scientists. The role requires ownership of engineering projects from discovery through continuous improvement, with emphasis on backend development, production systems, data acquisition, and scalable infrastructure.

Build and operate large-scale data pipelines for AI model training, including discovering audio data sources, optimizing processing systems for quality, throughput, and cost, and collaborating with AI scientists. Own engineering projects from discovery through continuous improvement while working independently in an ambiguous environment.

Build and operate large-scale audio data pipelines for AI model training. Responsibilities include discovering data sources, developing reliable processing systems, optimizing quality, throughput, and cost, and collaborating with AI scientists. The role requires strong backend engineering, production systems experience, Python and Bash proficiency, and independent ownership of projects. Experience with web crawling, distributed processing, GCP, Terraform, machine-learning datasets, or audio processing is advantageous.

Build scalable data pipelines and processing systems for AI model training at petabyte scale. Responsibilities include discovering audio data sources, improving dataset quality and processing efficiency, optimizing throughput and cost, collaborating with AI scientists, and owning engineering projects from discovery through continuous improvement.

Build and operate large-scale audio data pipelines for AI model training. The role involves discovering data sources, optimizing data processing for quality, throughput, and cost, partnering with AI scientists, and owning engineering projects from discovery through continuous improvement.

Build and maintain native Android experiences using Kotlin, scalable mobile frameworks, reusable UI components, and modular architecture. Own initiatives from product discovery through launch, collaborate with product, design, and backend teams, and improve architecture, testing, monitoring, and engineering standards. Develop secure, performant financial products while contributing to code reviews and platform components.

Build and maintain scalable full-stack payment, account management, and reporting applications for healthcare providers and patients. Responsibilities include designing features, collaborating with product and UX teams, testing, code reviews, troubleshooting production issues, documenting architecture, improving development processes, and mentoring junior engineers. The role requires PHP, MySQL, Vue, JavaScript, distributed systems, AWS SQS, testing, monitoring, and AI-assisted development experience.

Build and operate high-traffic consumer and partner products across backend services, APIs, frontend applications, infrastructure, databases, and DevOps. Responsibilities include delivering tested full-stack features, managing observability and reliability, supporting incident readiness, securing sensitive data, integrating third-party systems, adopting AI-assisted development tools, and leading cross-functional delivery. Work may involve real estate, mortgage, rental, marketplace, or financial services products.

Build full-stack applications, infrastructure, and reusable platforms for AI researchers. Partner with research teams to understand workflows, develop experiment orchestration and visualization tools, improve data-facing interfaces, and own products from concept through delivery and iteration.

Develop and maintain proprietary investment portfolio management systems, including web UI, portfolio analytics, rebalancing, and monitoring tools. Build new functionality across the full stack, support critical production systems, and plan large-scale integrations. Collaborate with investment teams, business stakeholders, third parties, and junior team members while ensuring application responsiveness, reliability, and security.

Design, develop, test, and maintain CAD/EDA software tools, automation frameworks, workflows, and deployment pipelines supporting hardware design, physical design, place and route, DRC verification, and manufacturing. Translate stakeholder requirements into scalable solutions, develop job-management tools for distributed systems, administer EDA infrastructure, and collaborate with hardware and manufacturing teams to improve engineering productivity.

Configure and maintain Avature applicant-tracking workflows, requisitions, job postings, recruiting tools, dashboards, and reports. Build REST API integrations, middleware, and data connectors between Avature and HR systems such as ServiceNow and Workday. Perform data audits and ETL support, troubleshoot system issues, optimize performance, and translate recruiting requirements into technical solutions. Serve as an Avature subject matter expert while supporting onboarding, change management, and cross-functional collaboration.

Build and scale full-stack software for employer and Employee Assistance Program products, including employer portals, patient and provider workflows, eligibility, authorization, and billing. Lead technical projects, design secure distributed systems, mentor engineers, contribute to engineering culture, and use modern technologies and AI-assisted development tools. Collaborate cross-functionally to expand access to mental healthcare.

Lead the design, development, testing, deployment, and operation of secure, scalable backend applications, APIs, microservices, and data-intensive services. Build Python and PySpark solutions using Azure technologies, establish API and engineering standards, improve observability and reliability, troubleshoot production issues, and drive secure software delivery. Partner across technical teams, mentor engineers, conduct architecture and code reviews, modernize systems, and responsibly apply AI tools to development and operations.

Participate in a 12-week Salesforce GovCloud internship building and maintaining distributed, cloud-native software services for high-compliance environments. Implement product onboarding, infrastructure, and resilient services within established designs, collaborating with senior engineers to deliver secure, highly available solutions. Receive mentorship, engineering training, and professional development opportunities.

Build and operate production software for Crunchyroll’s Concepts Lab, turning validated experiments into reliable products. Embed with delivery teams, design systems, maintain CI/CD and testing, manage production health, improve security and scalability, document services, and lead clean handoffs to long-term owners. Mentor engineers and contractors, contribute to hiring, and establish standards for code quality, observability, cost management, and release safety.

Design, develop, maintain, and test simulations for custom AI inference hardware. Collaborate on hardware-software co-design, influence architecture, validate hardware documentation, build debugging tools, and support software development on simulated chips. Work includes integrating simulated chips and hosts, enabling kernel driver testing, validating multi-chip scaling, and debugging early software deliverables.

Lead backend engineering for a high-performance, data-intensive SaaS platform. Responsibilities include defining technical vision, designing scalable and highly available systems, executing technical projects, participating in architecture decisions, monitoring and optimizing services, improving CI/CD and infrastructure, conducting postmortems, mentoring engineers, documenting practices, and aligning with partner teams.

Develops high-performance networking software and driver firmware for switch and NIC data planes. Responsibilities include designing software enhancements, creating APIs for custom ASIC control and monitoring, implementing scalable and resilient functionality, writing test plans, debugging integrations, leading project teams, and collaborating with internal and external development partners. The role also involves influencing network architecture, mentoring engineers, and communicating technical designs and project progress.

Design, develop, test, and troubleshoot high-performance routing protocol software focused on BGP and data center networking. Write C/C++ code, improve automation and test coverage, develop proofs of concept, resolve complex customer issues, and collaborate with global engineering teams on architecture, scalability, performance, and reliability.

Build and scale full-stack software for an AI-native cybersecurity platform. Responsibilities include developing backend services and APIs, creating frontend applications, collaborating on product features, writing tested code, participating in reviews, troubleshooting across the stack, and improving engineering processes. The role requires 3–5 years of software engineering experience and experience with backend, frontend, databases, and cloud technologies. Docker, Kubernetes, CI/CD, AI/ML, and startup experience are preferred.

Design, build, and operate Python backend services, APIs, databases, and labeling pipelines for massive autonomous vehicle sensor datasets. Own systems from ingestion through delivery, integrate vendors and internal tools, develop validation and quality monitoring, improve human labeling with ML automation, and collaborate with ML and perception teams. Lead technical design, review code, mentor engineers, and support production reliability through deployment, monitoring, and on-call responsibilities.

Leads architecture and hands-on development of scalable backend systems and APIs supporting real-time applications. Owns the engineering lifecycle, writes high-performance code, establishes testing and reliability practices, resolves production issues, guides technical roadmaps, collaborates cross-functionally, and mentors engineers. The role requires expertise in object-oriented backend development, distributed cloud systems, automated testing, system monitoring, and technical leadership.

Design, scale, and maintain robust software systems for AI-powered physical machines. Define coding standards and technology choices, work across the stack, collaborate on novel technical challenges, and mentor new hires. The role may involve AI/ML, hardware integration, systems programming, networking, Linux, and high-performance computing in a fast-paced startup environment.

Develop educational products by building backend systems, application logic, and user interfaces. Responsibilities include designing, coding, documenting, testing, debugging, tuning, estimating projects, evaluating technologies, and collaborating across engineering teams to deliver new features and products.