Top C++ Jobs in San Francisco, CA
The role involves designing and building scalable, fault-tolerant distributed machine learning systems, optimizing distributed processing frameworks, collaborating with teams to integrate ML systems, and implementing monitoring systems for performance and health.
The Software Engineer will focus on developing infrastructure solutions for AI/ML applications. Responsibilities include optimizing performance, collaborating with teams to enhance infrastructure management, and researching machine learning systems. The role requires expertise in distributed systems and proficiency in multiple programming languages.
Senior DevOps Engineer responsible for developing and optimizing cloud infrastructure for AI workloads on distributed GPU hardware. Requires 5+ years of DevOps experience, proficiency in programming languages, and expertise in CI/CD, cloud computing, and Kubernetes.
As a Senior Software Engineer in Test at Lightship, you will design and implement automated test infrastructure for embedded software and hardware, focusing on propulsion systems. Your role involves developing a deep understanding of system functionalities, collaborating with cross-functional teams, authoring test plans, and documenting bugs to ensure high-quality embedded systems.
As a Software Engineer for Lightship, you will develop and define embedded software for an electric RV, collaborating with product and engineering teams. Responsibilities include firmware development, code review, stability analysis, and defining communication interfaces. You'll be involved in optimizing software and assessing third-party solutions while staying updated on software advancements.
As a Senior Software Engineer, you will collaborate with scientists to develop algorithms and software solutions for extracting and quantifying biological data from innovative imaging hardware. You will manage multiple projects, ensuring alignment with company goals and industry best practices.
Collaborate with scientists and engineers to develop software solutions for biophysical problems and proprietary imaging-based datasets in a biopharmaceutical company focused on drug discovery.
Design real-time big data processing, storage, and analytics engine. Lead technical decisions, design ETL pipelines, and stay current on industry trends. Require 5-6+ years of industry experience in software development with proficiency in distributed stream processing frameworks and query engines.
Design, build, maintain, and improve algorithms and systems for a real-time streaming data processing platform. Lead technical decisions, ETL pipeline design, and foster a positive team culture. Requires solid computer science foundation, 10+ years of software development experience, proficiency in big data frameworks and programming languages.
As an AI Engineer & Researcher, you'll optimize model inference, build production serving systems, and accelerate research on scaling compute, contributing to AI systems that accurately understand the universe.
The AI Safety Engineer will focus on identifying safety shortcomings, designing evaluations to assess risks, implementing ML safety methods, collaborating with teams to ensure safety in development, and innovating new safety solutions for AI systems.
Forward Deployed AI Engineers work directly with end customers owning strategy and implementation. Responsibilities include designing, implementing, and maintaining robust and scalable AI-driven solutions, working with large, complex codebases, and delivering measurable impact through AI solutions.
As an AI Inference Engineer, you will develop APIs for AI inference, optimize ML systems, benchmark performance, enhance system reliability, and implement optimizations for LLM inference.
The Sr/Staff Systems Software Engineer will lead the design and development of system software for a Linux-based industrial PC at Redwood Materials, focusing on containerized service development, testing frameworks, and system diagnostics integration, while collaborating with firmware engineers and system engineers.
Design and implement backend APIs and services for Voxel's core customer experience. Collaborate with various teams to meet user needs, lead projects from implementation to maintenance, and ensure high-quality system performance using data-driven approaches. Mentor other engineers and contribute to technical documentation.
The role involves leading the development of custom device firmware, computer vision applications, and secure programming. The candidate should possess strong technical skills to strategize and implement solutions across the entire subsystem.
The Senior Computer Vision Engineer is responsible for designing software architectures, developing end-to-end machine learning pipelines, building testing environments, mentoring junior engineers, and implementing real-time algorithms on embedded devices. The role also includes debugging and optimizing hardware and software failures.
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