Top Software Engineer Jobs

The AI Product Engineer will design, build, and ship AI features for clean energy finance while collaborating with various stakeholders to improve transaction processes.

As a Full Stack Engineer, you will develop high-quality applications integrating AI and automation, focusing on UIs, APIs, and backend infrastructure while collaborating with cross-functional teams.

The Full-Stack Developer will design and deploy AI-focused tools for automation, collaborating with teams to optimize prompts and outputs, while mentoring juniors in a dynamic environment.

The Full-Stack AI Product Developer will manage projects from research to deployment, focusing on building AI-driven tools and enhancing user engagement within a healthcare context.

As a Software Engineer II, you'll develop backend services for an AI-powered search platform, collaborate with ML engineers, and optimize systems for performance and scalability.

The Automation Engineer will develop and scale automation processes for insurance workflows, working on browser and desktop tasks, while ensuring security and compliance.

The Senior AI Solutions Engineer will design and implement AI solutions, partner with teams to solve business challenges, and contribute to technology strategy and training at Golin.

As a Senior AI Solutions Engineer, you will implement AI solutions, enhance operational efficiency, and lead technology strategy to optimize client outcomes.

As an Engineering Intern, support AI tool development by managing data flows, reviewing documentation, identifying critical data needs, and testing AI tools.

Lead a team in developing an AI platform that enhances healthcare. Drive technical solutions, build a high-performing team, and collaborate with stakeholders to achieve business outcomes.

The role involves designing and deploying high-performance enterprise AI frameworks, collaborating with teams in chip design, optimizing algorithms, and maintaining secure data management systems.

Engineer cloud-native backend services for NVIDIA's robotics platform, focusing on Kubernetes orchestration, microservices development, and scalable ML workflows.

Develop tools for AI performance and efficiency, including profiling, debugging, and benchmarking for GPU clusters. Collaborate with various teams to optimize software and hardware solutions.

Conduct performance analysis on AI workloads for large GPUs and CPU clusters focusing on deep learning, networking, and optimization. Collaborate with teams to define performance expectations and test plans.

Develop robust AI-driven applications, focusing on production-level code and collaborating with cross-functional teams to integrate AI features into products.

Lead data architecture transformation for Golin by implementing scalable data solutions, optimizing processes, and ensuring compliance with regulations while collaborating with teams to drive AI-enabled initiatives.

Lead the design and development of AI-driven automation systems, mentor junior engineers, and enhance operational efficiency through software solutions.

The Senior Infrastructure Software Engineer will architect and scale multi-cloud infrastructure, focusing on compliance, observability, and developer efficiency for enterprise AI deployments.

As an AI Infrastructure Software Engineer, you will develop and optimize core infrastructure components for AI frameworks, collaborating with teams to ensure scalability and integrate ML technologies.

Design and operate large-scale AI/HPC networks, optimize performance and availability, and automate tasks with Python. Significant travel required.

Lead AI engineering initiatives to develop and implement innovative AI/ML solutions while enhancing software development processes across Owlet's products.

As a Software Engineer, you will develop generative AI services using Python, implement user-friendly interfaces, and collaborate with cross-functional teams to enhance the platform.

Develop and optimize a high-performance inference runtime integrating with PyTorch, collaborating with diverse teams and ensuring code quality.

The AI Hardware Architect will design and evaluate next-generation AI hardware, manage workload characterization, and optimize architectural features involving hardware-software co-design.

Develop and implement AI technologies in tax software, build APIs, and create UI for an embedded tax platform while collaborating with teams.