Develop physics-based system models and GPU-accelerated simulations to evaluate unconventional computing systems for ML workloads. Collaborate across teams to optimize the trade-offs between algorithms and hardware through high-fidelity differential equation solvers.
Remote Software Engineer Jobs (35,795)
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System Modeling (Performance Models)
Unconventional, Inc.
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Full Time
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10 Weeks Ago
Unconventional, Inc.
Develop high-fidelity power, performance, and area estimation tools for novel AI acceleration architectures. Collaborate across teams to create comparative analyses and support high-level system design and hardware verification.
Develop high-performance PyTorch components to model complex, time-varying dynamic systems for next-generation AI architectures. Build simulation frameworks that enable rapid iteration across physics-based computing systems for machine learning workloads.
Lead the organization's technology and information operations, ensuring secure and scalable systems for internal and programmatic work. This includes owning the enterprise technology strategy, security governance, and the integration of AI tools across the organization.
Design and implement production-grade AI systems and LLM-powered applications for clients. Create educational content and deliver technical training to transfer knowledge to client engineering teams.
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Drive market engagement through content creation, community management, and growth strategies while designing production-grade AI systems for clients. The role involves building LLM-powered applications and transferring technical knowledge to client engineering teams.
Partner with PhD researchers to design and implement production-quality machine learning models for quantitative trading strategies. Develop and maintain complex data pipelines and extensible tools to accelerate the model development lifecycle.
Lead the architectural direction of core backend services and own features from design through production rollout. Mentor junior engineers and collaborate with leadership to ensure system reliability and scalability.
Java Developer with Spark Experience
Global Alliant Inc
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Full Time
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10 Weeks Ago
Global Alliant Inc
Design, code, and maintain data processing solutions and applications using Java, Kotlin, Scala, and Apache Spark. Optimize Spark applications and implement data loading and transformation for large-scale datasets.
Design, build, and deploy AI-powered solutions and agents to automate workflows and improve business processes. Collaborate with stakeholders to translate complex business challenges into production-ready technical solutions.
Design, build, and deploy AI-powered solutions and agents to automate workflows and improve business processes. Collaborate with stakeholders to translate complex business challenges into production-ready technical AI solutions.
Serve as the architectural and operational anchor for high-scale AWS Aurora/MySQL environments, focusing on performance tuning and system reliability. Manage multi-tenant database schemas and optimize heavy data pipelines to support healthcare operational records.
Lead AI Engineer, Business Operations (Hybrid or Remote
AFL Telecommunications
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Full Time
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10 Weeks Ago
AFL Telecommunications
The Lead AI Engineer will design, build, and deploy agentic AI systems to automate business operations through workflow orchestration and model adaptation. They are responsible for establishing the technical foundation, including architectural patterns, deployment standards, and production reliability monitoring.
Own the full-cycle recruitment process to attract and hire exceptional talent across engineering, AI research, product, and business roles. Partner with leadership to build technical pipelines and ensure a high-quality candidate experience.
Scale backend systems to support high-volume customers and improve overall system reliability. Collaborate with backend teams to optimize infrastructure and serve as an Incident Commander.
Staff Machine Learning Engineer - ML Training Infrastructure
General Motors
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Full Time
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10 Weeks Ago
General Motors
Design and build scalable, high-performance AI/ML platform infrastructure to support advanced research and model development. Optimize distributed training workflows and resource utilization across heterogeneous hardware to reduce costs and improve performance.
Lead the technical execution and coordination of an agile engineering team while remaining hands-on with coding and architecture. Focus on mentoring engineers, improving delivery practices, and partnering with Product and QA to execute the roadmap.
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Build and maintain polished web and mobile experiences using a full-stack approach with a heavy emphasis on frontend craft. Own the end-to-end quality of mobile workflows, including QA, app store release management, and AI-driven development workflows.
Create technical content and open-source tools to help developers integrate observability into AI-accelerated workflows. Act as a bidirectional bridge between the developer community and internal product teams to shape the product roadmap.
The Technical Recruiter will identify and attract top engineering and product talent using AI-first recruiting workflows. They will partner with hiring managers to scale the organization and ensure a high-quality candidate experience.
Lead the architecture, design, and development of the Shopper iOS app to improve picking and delivery experiences. Collaborate cross-functionally to deliver high-visibility features while optimizing app performance and stability.
Lead the architecture and deployment of scalable Generative AI and Machine Learning systems into production environments. Develop end-to-end GenAI features, including backend APIs, conversational interfaces, and evaluation frameworks to improve model quality.
Develop and enhance GIS functionalities within a C++ application framework to improve the visualization of utility networks. Collaborate with cross-functional teams to design map configurations and manage data publishing workflows for outage and asset management systems.
Build and own the end-to-end agent stack for the ClickStack observability platform to automate incident investigation and root cause analysis. Develop reusable skills, MCP servers, and SDKs to enhance developer experience and AI workload performance.
Build and own the end-to-end agent stack for the ClickStack observability platform to automate incident investigation and root cause analysis. Develop reusable skills, MCP servers, and SDKs to enhance developer experience and AI workload performance.
Build and own the agentic layer for the ClickStack observability platform to automate incident investigation and root cause analysis. Develop reusable skills, MCP servers, and SDKs to enhance developer experience and AI workload performance.
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Senior Machine Learning Operations Engineer II (AI Native)
Life360
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Full Time
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10 Weeks Ago
Life360
Design and scale automated CI/CD and continuous training pipelines to reliably deploy and monitor machine learning models. Collaborate with cross-functional teams to optimize cloud-based ML infrastructure and ensure robust data lineage and governance.
Design and operate high-throughput ingestion and trace-query systems for the LangSmith platform. Define API, SDK, and CLI standards while maintaining integrations across various AI frameworks.
Lead the design and development of scalable price and promotion optimization solutions to drive smarter retail pricing decisions. Collaborate with cross-functional teams to deliver production-ready data science models and mentor team members on best practices.
Develop and own the full-stack implementation of Nory's scheduling and forecasting tools, turning raw restaurant data into real-time insights. Collaborate with product and design teams to ship MVPs and iterate based on direct customer feedback.
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