Remote jobs in the United States

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Added 3 days ago
Sr. Software Engineer – Robot Applications & Voice AI
Cerence GmbH
Remote, United States
AI That Moves the World. Careers That Move You Forward.
Added 4 days ago
Sr. Forward Deployed Engineer - Public Sector
Databricks
Remote, United States
As a Sr. Forward Deployed Engineer (FDE), you will work with federal, state, and local government customers to build and productionize solutions to their data & AI challenges using the…
Added 10 days ago
Senior Forward Deployed Solution Engineer
Spectro Cloud
Remote, United States
We are looking for a Sr. Forward Deployed Solution Engineer (FDSE) who is equally comfortable writing automation, troubleshooting a production Kubernetes cluster, whiteboarding a GPU…
Added 10 days ago
Sr/Staff Frontend Engineer | Web Products
Machinify
Remote, United States
…transparency, and efficiency to health plan clients across the country. Deployed by over 85 health plans, including many of the top 20, and representing more than 270 million lives,…
Added 10 days ago
C
Sr. Sales Engineer – Agentic AI for CX
Cyara
Remote, United States
- $170,000 to $220,000 USD / year
Agentic AI experience: Strong, proven experience with how AI agents and agentic workflows are built, deployed, and behave in CX environments.
Added 11 days ago
C
Mentor, Claude Corps
CodePath
Remote, United States
- $110,000 to $124,500 USD / year
You do not need to be the deepest software engineer in the room. You do need enough technical fluency to understand what fellows are building, learn unfamiliar technologies quickly, and…
Added 14 days ago
Sr. Forward Deployed Engineer
Alkami Technology, Inc.
Remote, United States
The Sr. Forward Deployed Engineer independently drives the delivery of internal AI, automation, data, and workflow solutions for Alkami's business and functional teams. This hands-on…
Added 14 days ago
Sr. Forward Deployed Engineer
Re:Build Manufacturing
Remote, United States
The IT Forward Deployed Engineer works within the IT team to compose, develop, and deploy AI-enabled automation solutions. These solutions update and simplify IT operations across the…
Added 18 days ago
B
Sr. Director, GTM Operations
Backstory
Remote, United States
- $225,000 to $280,000 USD / year
You will present quarterly results and forward guidance to the Executive Leadership Team, and be the authority on how confident leadership should be in the numbers. You will also run our…
Added 18 days ago
WEKA Data Platform Administrator (Remote US)
WEKA
Remote, United States
…infrastructure with a cloud and AI-native software solution that can be deployed anywhere. It transforms legacy data silos into data pipelines that dramatically increase GPU utilization and…
Added 26 days ago
Sr Data Engineer + Platform Engineer (GCP)
Tiger Analytics Inc.
Remote, United States
…multiple roles across solution architecture, consulting and forward deployed engineering…
Added 26 days ago
Principal Technologist - AI and Data Center Networking
DRIVENETS
Remote, United States
…and operational efficiency. DriveNets-powered networks are deployed by global leaders, including AT&T and Comcast, supporting more than 30% of total U.S. internet traffic. DriveNets AI…
Added 26 days ago
Technical Recruiter
gaiia
Remote, United States
Your first priorities are Forward Deployed Engineer and Data Migration, two customer-facing technical roles on our Customer Solutions Engineering team. These engineers combine deep…
Added 28 days ago
Senior AI Engineer – Forward Deployed, Agent Platform (REMOTE)
The Home Depot
Remote, United States
Engineer Enterprise Integrations & MCP Servers: Build resilient MCP servers and REST integrations for enterprise systems (e.g. Jira, Confluence, SharePoint/M365, Slack, ServiceNow,…
Added 29 days ago
Sr. AI Growth Engineer (Remote)
CrowdStrike, Inc.
Remote, United States
…businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive…
Added 29 days ago
Senior AI Engineer – Forward Deployed, Agent Platform (REMOTE)
HOME DEPOT MANAGEMENT COMPANY, LLC
Remote, United States
Engineer Enterprise Integrations & MCP Servers: Build resilient MCP servers and REST integrations for enterprise systems (e.g. Jira, Confluence, SharePoint/M365, Slack, ServiceNow,…
Added 29 days ago
OG
Sr. Associate - Data Engineering - LATAM
Openvale Group
Remote, United States
- $40,000 to $50,000 USD / year
In the Data Engineering Sr. Associate role, you will be the hands-on engineer behind our APM solutions. You will build and run the data platforms our Finance solutions sit on, from source…
Added 29 days ago
Senior Deployment Strategist - Cloud & AI
Virtasant
Remote, United States
Scope engagements around outcomes that can be deployed and verified, not analysis or recommendations that stop at a slide deck.
Added 29 days ago
Industrial Hygienist - Occupational Safety, Industrial Hygiene, & Environmental Programs (OSEP) Services and Support
ProSidian Consulting, LLC
Remote, United States
…Engineering | Environmental | Sustainability | Human Capital. We help forward-thinking clients solve problems and improve operations. Launched by Management Consultants, our…
Added 29 days ago
TI
Sr. React Native Engineer
Tapcart Inc.
Remote, United States
- $175,000 to $350,000 USD / year
- You prefer the dopamine of working on software that will get into hundreds of millions of users' hands, vs working on enterprise, forward-deployed software
Added 29 days ago
TI
Sr. Full Stack Engineer
Tapcart Inc.
Remote, United States
- $175,000 to $350,000 USD / year
- You prefer the dopamine of working on software that will get into hundreds of millions of users' hands, vs working on enterprise, forward-deployed software
Added 29 days ago
TI
Sr. Product Engineer
Tapcart Inc.
Remote, United States
- $175,000 to $350,000 USD / year
- You prefer the dopamine of working on software that will get into hundreds of millions of users' hands, vs working on enterprise, forward-deployed software
Added 29 days ago
TI
Sr. AI Engineer
Tapcart Inc.
Remote, United States
- $175,000 to $350,000 USD / year
- You prefer the dopamine of working on software that will get into hundreds of millions of users' hands, vs working on enterprise, forward-deployed software
Added 29 days ago
TI
Sr. Software Engineer
Tapcart Inc.
Remote, United States
- $175,000 to $350,000 USD / year
- You prefer the dopamine of working on software that will get into hundreds of millions of users' hands, vs working on enterprise, forward-deployed software
Added 29 days ago
MC
Sr. Sales Engineer (Forward Deployed Engineer - Pre Sales)
Monte Carlo
Remote, United States
- $240,000 to $270,000 USD / year
We're looking for a sales engineer who has lived that reality and can help our strategic customers navigate it. You'll own the technical win inside strategic US accounts, partnered directly…

Spectro Cloud

Senior Forward Deployed Solution Engineer

Remote, United States

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Job details

Posting language: English
Posted: Oct 30, 2026

Original job description

About Spectro Cloud We are looking for a Sr. Forward Deployed Solution Engineer (FDSE) who is equally comfortable writing automation, troubleshooting a production Kubernetes cluster, whiteboarding a GPU fabric, and working with Customer leaders to be the tip of our FDE practice and guide the Customer to successful technical and business outcomes. You will join the FDE team and at the point with our Customer(s) where business or mission goals meet technical reality. You will translate desired outcomes into deployable architectures, build the automation and integrations needed to make those architectures real, and guide each deployment from first working capability through production readiness, scaled adoption, and operational handoff and working closely with our other FDE practice resources and the aligned Deployment Strategist. This is hands-on engineering not traditional staff augmentation, and not a role where the work ends with a slide deck or demo. You will work across Palette / PaletteAI, Kubernetes, cloud, bare metal, edge, GPU systems, data pipelines, high-performance networking, and the NVIDIA software and hardware ecosystem. You will also bring what you learn back into Product and Engineering so that the next deployment is faster, more standardized, and easier for our FDE teams and Customers to operate independently. The best candidates enjoy ambiguity, learn quickly, communicate directly, and care deeply about the difference between technology that is installed and capability that is genuinely useful. About You You thrive where the problem is important, the environment is complex, and the path is not yet fully defined. You can move between code, infrastructure, networking, user workflows, architectural reviews and guidance with other FDE team members, and Customer conversations without losing the thread of the outcome. You are curious without being careless, confident without pretending to know everything, and pragmatic without accepting permanent shortcuts. You communicate early when risk changes, write down what others will need later, and know that the best technical solution is one the customer can operate successfully. We do not expect one person to have deployed every product and technology outlined in this description. We do expect deep Kubernetes and automation capability, strong systems reasoning, customer-facing judgment, and the ability to become productive quickly in unfamiliar parts of the stack. Required qualifications

Bachelor’s degree in Computer Science, Computer Engineering, Information Systems, or a related technical field, or equivalent practical experience.
6+ years of professional experience in software engineering, platform engineering, site reliability engineering, DevOps, infrastructure engineering, solutions engineering, or a comparable customerfacing technical role.
Production experience designing, deploying, upgrading, and troubleshooting Kubernetes clusters and cloud-native applications.
Strong Linux and distributed-systems fundamentals, including processes, networking, storage, identity, certificates, resource management, and failure analysis.
Proficiency in at least one modern programming language preferably Go or Python and the ability to produce maintainable, tested, production-quality code.
Hands-on experience with infrastructure as code and configuration automation using technologies such as Terraform, Ansible, Cluster API, Helm, Kustomize, and equivalent tools.
Experience implementing CI/CD or GitOps workflows using platforms such as GitHub Actions, GitLab CI, Jenkins, Argo CD, Flux, or comparable systems.
Working knowledge of Kubernetes security and multi-tenancy, including RBAC, namespaces, network policy, admission controls, quotas, secrets, pod security, and tenant isolation.
Experience with at least one major public cloud and at least one datacenter deployment model such as bare metal, VMware, KubeVirt, Proxmox, or OpenStack.
Working knowledge of GPU-enabled infrastructure, including the relationship among firmware, drivers, CUDA, container runtimes, Kubernetes scheduling, device plugins, telemetry, and workload frameworks.
Working knowledge of the AI data and model lifecycle from data ingestion through model deployment, inference, monitoring, and feedback.
Solid networking fundamentals, including TCP/IP, routing, switching, DNS, BGP, load balancing, overlays, MTU, latency, bandwidth, congestion, and packet-level troubleshooting.
Familiarity with high-performance AI networking concepts such as RDMA, RoCE, InfiniBand, SR-IOV, GPUDirect, and collective communication.
Ability to communicate architecture, tradeoffs, status, and risk clearly to engineers, operators, executives, and nontechnical stakeholders.
Demonstrated ability to work through ambiguous requirements, prioritize effectively, and deliver iterative value in a fast-moving environment.
Ability to work onsite with Customer for discovery, deployment, testing, and operational milestones.
Authorization to work in the stated location and ability to satisfy customer-specific access requirements. Preferred qualifications
8+ years of relevant experience, including ownership of complex production deployments or strategic customer programs.
Direct experience with Spectro Cloud Palette / PaletteAI, Cluster API, Kubernetes fleet management, edge Kubernetes, or declarative full-stack lifecycle platforms.
Current CKA, CKS, CKAD, relevant cloud, networking, security, or NVIDIA certification.
Production experience designing or operating NVIDIA Cloud Partner (NCP) or comparable multi-tenant GPU cloud environments.
Deep experience with tenant isolation across bare metal, virtual machines, Kubernetes control planes, GPU resources, storage, and high-performance networks.
Hands-on experience with NVIDIA GPU Operator, Network Operator, DCGM, MIG, vGPU, NIM, Triton, TensorRT-LLM, vLLM, NCCL, or NVIDIA AI Enterprise.
Experience with GPU schedulers and AI platform technologies such as Run:ai, Slurm, Volcano, KAI, Ray, Kubeflow, ClearML, or comparable systems.
Experience with distributed training or high-throughput inference on H100, H200, B200, GB200, GB300, or other modern accelerator platforms.
Hands-on design or operational experience with NVIDIA Spectrum-X Ethernet fabrics, Quantum InfiniBand, ConnectX adapters, BlueField DPUs or SuperNICs, and DOCA OR other high-speed, lowlatency networking technologies.
Experience configuring or troubleshooting GPUDirect RDMA, GPUDirect Storage, RDMA, RoCE, PFC, ECN, ECMP, SR-IOV, Multus, InfiniBand, InfiniBand partitions, and topology-aware scheduling.
Experience building or operating SONiC or Cumulus Linux leaf-spine fabrics, including FRR, BGP, EVPN/VXLAN, VRF, zero-touch provisioning, automated validation, upgrades, and telemetry.
Experience integrating BlueField in DPU or restricted modes for network, security, storage, isolation, or telemetry offload; familiarity with DPU provisioning, BMC, Redfish, attestation, and lifecycle management.
Experience with high-performance storage and AI data platforms, including object storage, NVMe-oF, parallel file systems, data lakes, streaming, feature stores, vector databases, model registries, or metadata and lineage systems.
Experience in disconnected, air-gapped, sovereign, regulated, safety-sensitive, or classified environments.
A record of contributing reusable software, open-source projects, reference architectures, technical publications, or customer enablement materials. 2026-257

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