Top Software Engineer Jobs

Join Pylon as a Software Engineer to build a B2B post-sales support platform, focusing on coding and project management with autonomy.

Design, develop, and optimize a SaaS platform, ensuring user experience and environmental impact while collaborating with cross-functional teams.

As a Full Stack Software Engineer, you'll design and develop software for DIA, focusing on AI/ML integration and enhance data-driven decision-making. You'll create software architectures, APIs, and collaborate with clients while ensuring compliance and maintaining libraries.

Develop and maintain full-stack applications for manufacturing operations, build data pipelines, and optimize processes in a fast-paced environment.

Join our applied AI lab as a Software Engineer to build software agents and collaborative AI teammates for engineering teams.

As a Full Stack Software Engineer, you will design and build backend infrastructure, develop web applications, and manage cloud-hosted systems while collaborating with team members and external partners.

Responsible for designing, building, delivering, and maintaining software applications and services, collaborating with teams to implement solutions and applying SDLC principles.

Design and build fraud detection and remediation systems, collaborate with various teams, and stay informed on fraud combating techniques.

The role involves owning the development lifecycle of platform capabilities, collaborating with teams, and implementing solutions using OpenAI technologies.

Design and implement networking collectives for AI training, collaborating with researchers and optimizing for performance on supercomputers.

This role involves designing, implementing, and optimizing state-of-the-art AI models, with a focus on building research tools like the Triton compiler to accelerate progress in AI systems.

The role involves building and maintaining AI safety systems, collaborating with engineers to improve AI model safety, and managing incidents to enhance user safety.

Design and operate large-scale compute clusters for AI research, optimizing resource allocation and ensuring reliability and security in operations.

You will optimize and prototype OpenAI's AI software stack on new compute platforms, enhancing performance for large-scale model workloads.

The Data Infrastructure Engineer will design, build, and operate scalable data infrastructure systems, ensuring reliability and performance while collaborating with various teams at OpenAI.

Design, build, and maintain scalable search infrastructure, optimizing algorithms and processes to enhance search relevance and performance.

The Software Engineer will architect and enhance billing systems, develop integrations, and collaborate with various teams to ensure effective monetization of OpenAI products.

Join the Data Acquisition team to lead projects in data collection, collaborate across teams, and develop scalable systems for data processing.

As a Software Engineer on the Fleet HPC team, you'll ensure the reliability of OpenAI's compute fleet by building automation systems, monitoring performance, and collaborating with various teams to improve efficiency and uptime.

As a Software Engineer on the Storage Infrastructure team, you will design, build, and operate systems for managing large-scale research data securely and reliably across multiple regions.

The role requires designing and operating scalable backend systems for ML research, developing reliable infrastructure, and improving service performance.

Develop secure backend systems, collaborate with cross-functional teams, conduct threat modeling, and ensure compliance with legal standards.

As a Software Engineer at Shepherd, you will improve AI features, collaborate with teams, mentor engineers, and contribute to product strategy.

The Software Engineer will lead major initiatives, own product experiences, mentor engineers, and contribute to strategy and architecture while using technologies like TypeScript and Node.js.

The role involves developing AI strategies, innovating across platforms, mentoring engineers, and participating in product and architectural decision-making.