Verified senior software engineer opportunities at the 200K+ tier, with current observed ranges around $127k-$320k and direct application links from hiring teams.
Design, build, and own scalable, resilient services end-to-end from system design, API design, and data modeling through implementation, testing, deployment, and operational support.
Drive end-to-end system design, including low-level design (LLD), API contracts, and data modeling, aligned with Expedia’s architectural standards, engineering best practices, and long-term technical vision.
Project leads at Mercor run and scale distinct data production businesses, each hiring and upskilling thousands of experts, while managing throughput and quality.
Partnering closely with counsel, we provide custom infrastructure and guidance for complex, novel technical matters, empowering teams across the company to continue meeting our legal obligations as we innovate.
We are looking for a Software Developer to contribute to our Veeam Kasten data management platform , purpose-built for Kubernetes, ensuring top-tier security and excellence.
We are seeking a Senior Software Engineer to join the Performance Engineering team for Data Connectors & High-Scale Ingestion.
Design and implement security measures for AI systems, emphasizing reliability and steerability to prevent misuse and enhance safety.
Product Engineering at Decagon builds all aspects of the platform our customers use to create, operate, and improve their AI agents. We turn work that currently requires an engineer into product that a CX team can run themselves. This team is core to how Decagon scales.
We build the security foundations that enable Decagon's AI agents to handle sensitive customer data with complete trust while defending against sophisticated, AI-enabled threats at massive scale. This role sits at the intersection of Security and Infrastructure.
We build the security foundations that enable Decagon's AI agents to handle sensitive customer data with trust while defending against sophisticated, AI-enabled threats at massive scale.
The Infrastructure team builds and operates the foundations that power Decagon: networking, data, ML serving, developer platform, and real‑time voice.
The Infrastructure team builds and operates the foundations that power Decagon: networking, data, ML serving, developer platform, and real‑time voice.
The AI Platform team builds the foundational systems that enable every engineer at Decagon to build with AI. Our users are both engineers and coding agents.
This is the orchestration layer that turns workflows, tools and guardrails into a reliable, low-latency, and delightful experience for end users.
Design and build software to scale Lambda’s high performance multi-tenant cloud network. Develop reproducible automation and tooling for network configuration and deployments. Implement and operate Software Defined Networking services and related control-plane software.
Lambda · 2mo ago
We are seeking a Software Engineer with good experience in backbone infrastructure that build, scale and optimize GPU-first cloud infrastructure that enables High Performance Computing and demanding AI workloads. In this role you will be responsible for:
Lambda · 3mo ago
Design and build a vendor-agnostic control plane that provisions, scales, heals, and meters storage across the platforms our customers actually demand, VAST Data, WEKA, DDN, Pure, NetApp, Ceph, MinIO, and the ones that don't exist yet.
Lambda · 3mo ago
Design, develop, and maintain software for storage systems, focusing on performance, scalability, and reliability. Implement and optimize storage protocol APIs for file (e.g., NFS, SMB), block (e.g., iSCSI, Fibre Channel), and object (e.g., S3) access.
Lambda · 6mo ago
Fleet Engineering spans several teams. Depending on the team you join, your day-to-day will involve some combination of the following:
Design, build, and operate the software that automates Lambda's network lifecycle, from data center build-out and device provisioning through day-2 operations.
Architect and implement scalable distributed infrastructure for model serving (load balancing, auto-scaling, batch scheduling, global KV cache). Optimize latency and throughput of model inference under real production workloads.
Design, build, and optimize massive GPU clusters for extreme-scale training and inference workloads. Develop and tune low-level CUDA kernels (GeMM, Attention, etc.), using CUTLASS, Tensor Cores, and Nsight for maximum performance.
Developing and triaging platform drivers which goes into SOCs. Building sophisticated automation triage tools and, FW and OS-drivers issue packetizations. Supporting OS driver development, bring up and triaging of Platform and Multimedia drivers.
Address customer and partner optimization challenges: Engage directly with prominent automotive OEMs and robotics associates to analyze, debug, and improve their deep learning models on NVIDIA platforms. We emphasize delivering solutions rather than just recommendations.
Crafting and implementing high-performance Vision AI pipelines for real-time and streaming scenarios using brand-new computer vision and deep learning models.
Set technical direction for major platform areas, leading the architecture, roadmap, and long-term health across multiple product cycles. Design and lead infrastructure initiatives that span team boundaries, building alignment with firmware, hardware, and business partners.
developing scalable library software using modern tools and languages for various numerical method. performance tuning, optimization, and benchmarking of algorithms on various architectures.
Game Performance optimization, Linux Kernel, KVM Hypervisor, System Software & optimization at scale. Understand and apply gaming workloads, streaming software for kernel and user space interactions. Bridge the gap between software and hardware for a cloud streaming service.
Build and maintain customer-ready Linux distributions, installation images (ISO), and software packages. Integrate NVIDIA software, drivers, and third-party components into Canonical Ubuntu and RHEL platforms.
Develop and ship behavior and trajectory planning for an L4 robotaxi (lane changes, merges, intersections, unprotected turns, yielding, stop-and-go, curbside operations).
Drive AI-based automotive systems from design through production, within power and performance constraints. Work with hardware teams to help shape future platforms for industry-leading power efficiency.
Developing and triaging platform drivers which goes into SOCs. Building sophisticated automation triage tools and issue packetizations for FW and OS drivers. Supporting OS driver development, bring up and triaging of Platform and Multimedia drivers.
Execute full software development life cycle (SDLC). Write well-designed, testable code. Integrate perception (but not limited) software components into a fully functional software system. Develop software verification plans and quality assurance procedures.
Design and build evaluation and analysis tooling used by AV and ML engineers. Improve analyzer workflows, including onboarding, execution, qualification, and production observability. Build reliable services, APIs, CI pipelines, and UI-facing workflows across the stack.
Join a fintech product team as a senior engineer focused on design and frontend craft. You will shape intuitive experiences for complex mortgage workflows, from early concepts through production implementation.
Lambda · 1mo ago
We are seeking a Senior Software Engineer to join our Managed Kubernetes (Mk8s) team. You will play a crucial role in shaping the architecture, reliability, and automation of our Kubernetes-based infrastructure, which powers mission-critical workloads across our global platform.
Lambda · 1mo ago
As a Senior or Staff Software Engineer in Lambda’s Cloud Services Engineering organization, you will build and operate the distributed systems that power Lambda’s GPU cloud.
Our partner is looking for a Senior Software Engineer, Incident Lifecycle based in the United States.
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USA
San Francisco, CA +2