Top Python Jobs in San Francisco, CA

As an Engineering Manager at Merge, you will lead an automation engineering team to enhance integration solutions. Responsibilities include team management, cross-functional collaboration, developing team roadmaps, and ensuring high-quality product deliverance. Ideal candidates will have prior individual engineering experience and a proven record in team leadership in a fast-paced environment.

Design and implement interfaces and features for customers, improving product performance and reliability, managing the entire product development lifecycle, and building internal tools to enhance productivity. Must independently own projects from conception to release.

The Senior QA Engineer role involves manual and automation testing of products including embedded systems, iOS and Android applications, and server components. Responsibilities include regression testing, updating documentation, preparing QA reports, and tracking issues in Jira, all while collaborating with a talented engineering team.

As a PCM Systems Engineer, you'll support test development for superconducting electronics, develop automated testing procedures, and document testing requirements. You'll collaborate with engineers and physicists in a high-performance computing environment, focusing on system integration and statistical analysis.

The role involves performing functional verification of ASIC and FPGA designs using modern verification methods and tools. Responsibilities include developing testbenches, conducting simulations, and collaborating with design engineers to ensure product quality and compliance with requirements.

Join Northrop Grumman as a Test Automation Expert where you will design and develop automated test scripts, conduct regression testing, and ensure software quality meets policy standards. Collaborate in an Agile environment, mentor junior engineers, and improve the continuous delivery pipeline.

Softrams is seeking Lead DevOps Engineers with expertise in AWS, Terraform, Linux/Windows, and Kubernetes to support health IT solutions. This role requires lead experience, strong AWS knowledge, Linux system understanding, containerization skills, and experience with configuration management tools. The position involves automation, mentoring staff, managing priorities, innovation, CI/CD focus, and hands-on experience with serverless resources.

As a Senior Software Engineer, you will develop Django-based websites, work with large data sets, write scalable code, test and debug programs, and implement security solutions, all while collaborating with team members to understand user requirements.

In this role, you will utilize advanced techniques in artificial intelligence and computer vision to develop machine intelligence solutions for Entefy’s products, leveraging your expertise in algorithms and image processing.

As an ML Engineer specializing in Natural Language Processing, you will leverage deep learning techniques to enhance Entefy's products. Your role involves designing algorithms, working on advanced NLP projects, and utilizing your expertise in machine learning tools while collaborating within a high-impact team.