This role is for one of the Weekday's clients Min Experience: 10 years Location: USA JobType: full-time As a Lead Engineer, you will play a pivotal role in architecting and delivering complex stream-processing solutions, mentoring engineering teams, and collaborating closely with cross-functional stakeholders to translate business requirements into robust technical systems.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Software Engineer - REMOTE. As a vital member of our team, you will design, develop, and maintain complex software systems. Your leadership in agile teams will be crucial in mentoring junior engineers and ensuring the delivery of top-notch software solutions. Your role will have a significant impact on shaping the software architecture and enhancing our development processes. Collaboration with stakeholders will be key to ensuring successful project outcomes. - Write high-quality code for complex scenarios with good test coverage. - Review and translate product requirements into robust designs for high-quality distributed application systems. - Lead design and code reviews to ensure adherence to best practices and quality standards. - Guide the sprint team to deliver new or improved features while addressing impediments. - Collaborate with teams and stakeholders for successful delivery. - Mentor and provide technical guidance to team members, fostering innovation. Qualifications - Bachelor’s Degree in Computer Science, Information Systems, or related fields. - 5+ years of software programming experience, with at least 2 years in relevant technologies. - Experience in leading and mentoring engineering teams. - Proficient in Java, Python, Go, C++, or JavaScript and knowledgeable in various data structures, algorithms, and design patterns. - Experienced in REST and gRPC APIs, and familiar with message queuing and data streaming technologies. - Knowledge of microservices architecture and containerization technologies (Docker, Kubernetes). - Strong problem-solving, communication, and leadership skills. Benefits - Competitive compensation. - Flexibility to work from anywhere in the United States. - Paid time off including vacation, sick leave, and holidays. - Incentive bonus programs (holiday, referral, performance-based). - Medical, dental, vision, life, and pet insurance. - 401(k) retirement savings plan with company match. - Engaging work environment with promotional opportunities. - Education assistance and professional development opportunities. - Health and wellbeing resources including free mental wellbeing therapy and coaching.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role focuses on developing and optimizing compilers for high-performance deep learning workloads on modern GPU architectures. You will design, implement, and tune advanced compiler optimization algorithms to accelerate training and inference for deep learning frameworks at scale. The position involves collaborating with framework teams, hardware engineers, and cross-functional partners to deliver production-grade software that powers next-generation AI systems. This role combines deep technical expertise, creativity, and autonomy in a dynamic, research-driven environment with significant impact on AI computing performance. - Develop compiler optimization techniques for deep learning network graphs - Design and implement graph partitioning and tensor sharding for distributed training and inference - Optimize performance and analyze computational efficiency on GPU hardware - Generate code for NVIDIA GPU backends using MLIR, LLVM, OpenAI Triton, or similar compilers - Contribute to user-facing features in deep learning frameworks and related libraries - Collaborate with GPU hardware teams to align software features with next-generation architectures - Mentor junior engineers and support knowledge sharing within the team Qualifications - Bachelor’s, Master’s, or Ph.D. in Computer Science, Computer Engineering, or related field, or equivalent experience - 4+ years of experience in performance analysis, compiler optimization, or deep learning software development - Strong C/C++ programming skills with expertise in software design, debugging, and testing - Knowledge of CPU, GPU, or other high-performance hardware architectures, including distributed computing - Experience with CUDA or OpenCL is desirable - Familiarity with XLA, TVM, MLIR, LLVM, OpenAI Triton, or deep learning frameworks such as JAX, PyTorch, or TensorFlow is a strong plus - Ability to work independently, define project scope, and deliver high-quality software - Excellent communication and collaboration skills; experience mentoring junior engineers is a bonus Benefits - Competitive salary range ($152,000—$241,500 USD) - Eligibility for equity, bonuses, and comprehensive benefits packages - Remote work eligibility with flexibility depending on location - Opportunities for professional growth, mentorship, and career development - Dynamic, research-driven environment working on cutting-edge AI technology - Inclusive, diverse, and collaborative workplace culture

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role involves supporting enterprise application development initiatives across web-based and cloud-native platforms. - Design, develop, test, and deploy scalable full stack applications - Build responsive and user-friendly front-end interfaces - Develop robust APIs and back-end services - Integrate applications with databases and third-party systems - Optimize applications for performance, scalability, and security - Participate in code reviews and maintain best practices in software architecture - Collaborate with product managers, designers, and cross-functional stakeholders - Contribute to CI/CD pipelines and DevOps workflows Qualifications - Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience) - 4+ years of full stack development experience - Proficiency in modern front-end frameworks (React, Angular, or Vue) - Strong back-end development experience (Node.js, Java, Python, or .NET) - Experience building RESTful APIs and microservices architectures - Experience with relational and/or NoSQL databases (PostgreSQL, MySQL, MongoDB, etc.) - Familiarity with cloud platforms (AWS, Azure, or GCP) - Strong understanding of software development best practices and version control (Git) Requirements - Experience with containerization technologies (Docker, Kubernetes) - Familiarity with serverless architectures - Knowledge of authentication protocols (OAuth, SAML, JWT) - Experience in Agile/Scrum development environments - Exposure to automated testing frameworks and performance testing tools Benefits - Remote position available for U.S.-based candidates - W2 engagement; no third-party or C2C arrangements - Comprehensive technical screening required