Remote jobs in the United States

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Added 3 hours ago
Forward Deployed Engineer (FDE) - GenAI / Agentic AI
Tiger Analytics Inc.
Remote, United States
Tiger Analytics is looking for experienced Forward Deployed Engineer with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise…
Added 4 hours ago
Forward Deployed Engineer (FDE) - GenAI / Agentic AI
Tiger Analytics Inc.
Remote, United States
Tiger Analytics is looking for experienced Forward Deployed Engineer with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise…
Added 4 hours ago
Software Engineer, Applied AI
Euronet Worldwide, Inc.
Remote, United States
Forward-deployed engineering, solutions engineering, or internal tools development.
Added 7 hours ago
NVIDIA AI Enterprise Forward Deployed Engineer
Kyndryl, Inc.
Remote, United States
…on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our…
Added 9 hours ago
Senior Software Engineer – Splunk Framework & Runtime Services
Cisco Systems, Inc.
Remote, United States
As a Senior Software Engineer on the Framework & Runtime Services team, you’ll design and develop the foundational tools, frameworks, and services that enable Splunk engineering teams to…
Added 10 hours ago
GA
Senior Technical Sourcer
GC AI
Remote, United States
- $120,000 to $190,000 USD / year
…best-in-class talent across Applied AI, product engineering, forward deployed engineering, design and product: the people who build the platform in-house legal teams rely on every day.…
Added 10 hours ago
BP
Forward Deployed Engineer – AI & Trading
BP Products N.A. Inc.
Remote, United States
- $167,000 to $253,000 USD / year
As a Forward Deployed Engineer, you'll work alongside traders and commercial teams to turn ideas into reliable AI-enabled tools.
Added 10 hours ago
TL
Data Forward Deployed Engineer – Applied Data & ML Engineering
Tessera Labs
Remote, United States
- $180,000 to $233,000 USD / year
We are looking for a Forward Deployed Engineer (FDE) for our Applied Data & ML capability. You will work directly with enterprise clients to turn fragmented, multi-system enterprise data…
Added 10 hours ago
Senior Consultant, AI Strategy (Contract to Hire)
MojoTech
Remote, United States
Forward Deployed AI Innovation Pod: an embedded sprint where an AI Strategist and a Forward Deployed Engineer find high-signal opportunities, build proof-of-value prototypes and assess data…
Added 10 hours ago
Head of Forward Deployed Engineering
Newcode.ai
Remote, United States
Client delivery takes place in pods comprising a senior legal engineer, a forward-deployed engineer, and an account manager focused on retention and expansion. The senior legal engineer…
Added 14 hours ago
Forward Deployed Engineer - AI & Trading
BP PLC
Remote, United States
As a Forward Deployed Engineer, you'll work alongside traders and commercial teams to turn ideas into reliable AI-enabled tools. You'll combine hands-on engineering with close user…
Added 17 hours ago
Senior Forward Deployed Engineer, Merchant Solutions
Bask Health
Remote, United States
We're looking for a Senior Forward Deployed Engineer, Merchant Solutions to help merchants successfully implement and operate their businesses on Bask Health.
Added 17 hours ago
Senior Forward Deployed Engineer, AI & Automation
Bask Health
Remote, United States
We're looking for a Senior Forward Deployed Engineer, AI & Automation to design, build, and deploy AI-powered solutions and automated workflows across Bask Health's platform.
Added 17 hours ago
Forward Deployed Engineer, AI Solutions
Bask Health
Remote, United States
We're looking for a Forward Deployed Engineer, AI Solutions to help design, build, and implement AI-powered features and technical solutions across Bask Health's platform.
Added 17 hours ago
Forward Deployed Product Engineer
Bask Health
Remote, United States
We're looking for a Forward Deployed Product Engineer to build and improve software features that solve real problems for Bask Health's merchants, internal teams, and platform users.
Added 17 hours ago
Forward Deployed Engineer, Merchant Soluti
Bask Health
Remote, United States
We're looking for a Forward Deployed Engineer, Merchant Solutions to help merchants successfully implement, customize, and operate their businesses on Bask Health's platform.
Added 17 hours ago
Forward Deployed Engineer, AI & Automation
Bask Health
Remote, United States
We're looking for a Forward Deployed Engineer, AI & Automation to help build and implement AI-powered tools, automated workflows, and technical integrations across Bask Health's platform.
Added 17 hours ago
Forward Deployed Engineer, Pharmacy Integrations
Bask Health
Remote, United States
We're looking for a Forward Deployed Engineer, Pharmacy Integrations to help build, maintain, and improve the technical connections between Bask Health's telehealth platform and pharmacy…
Added 17 hours ago
Junior Forward Deployed Engineer
Bask Health
Remote, United States
We're looking for a Junior Forward Deployed Engineer to help build, implement, and maintain technical solutions across Bask Health's platform.
Added 17 hours ago
Deployment Engineer, Merchant Solutions
Bask Health
Remote, United States
We're looking for a Deployment Engineer, Merchant Solutions to help merchants successfully implement, configure, and launch technical solutions using Bask Health's platform.
Added 1 day ago
AI Agent Evaluation Engineer
Cresta
Remote, United States
Partner with forward-deployed engineers, backend engineers, product managers, and the voice/language engineering team to turn findings into prioritized recommendations.
Added 1 day ago
Principal Solution Architect - AI Accelerated Engineering
CDW Technologies, LLC
Remote, United States
…completion. Additionally, the Solution Architect should have a “Forward Deployed Engineer” mindset, always looking for new problems we can solve for our clients, ways we can expand our team…
Added 1 day ago
O
Forward Deployed Engineer, Onboarding Services
Outreach
Remote, United States
- $90,000 to $110,000 USD / year
…clear requirements faster, spot adoption risk earlier in usage data, and spend more of your time on the strategic guidance customers hire us…
Added 1 day ago
Sr. Forward Deployed Data Engineer
Natera
Remote, United States
We are looking for a Senior Forward Deployed Data Engineer to work directly with internal business stakeholders and domain teams to design, build, and deploy high-impact analytics and AI…
Added 1 day ago
Senior Software Engineer
Scope3 PBC
Remote, United States
Backgrounds in early-stage startups, founding engineering teams, or forward-deployed engineering can be particularly valuable, especially where you've had to operate independently, take…

Closed listing

Jobgether

Senior Forward Deployed Solution Engineer

Remote, United States

This opening has closed.

The original listing is kept below for reference.

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Job details

Posting language: English
Posted: Oct 30, 2026

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Original job description

Archived listing. The details below describe a past opening.

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Forward Deployed Solution Engineer based in the United States.

The Senior Forward Deployed Solution Engineer will lead complex customer deployments, translating strategic business and mission objectives into reliable, production-ready technical solutions. This hands-on engineering role combines software development, Kubernetes infrastructure, cloud and bare-metal systems, networking, and AI infrastructure. You will work directly with customer engineering teams, operators, and executives to design architectures, build automation, troubleshoot systems, and guide deployments from initial discovery through operational handoff. The scope spans cloud-native platforms, edge environments, GPU infrastructure, high-performance networking, and AI data and model workflows. You will collaborate with other forward-deployed engineering resources and internal Product and Engineering teams to turn deployment experience into reusable capabilities and standardized practices. This is an opportunity for an experienced technical leader who enjoys solving ambiguous problems and delivering solutions that customers can operate and scale independently.

Accountabilities

You will serve as a senior technical lead throughout complex customer engagements, taking responsibility for translating requirements into deployable architectures and ensuring that solutions deliver lasting operational and business value.

• Lead technical discovery with customers, translating business objectives, operational constraints, and mission requirements into practical technical architectures and deployment plans.

• Design, deploy, upgrade, and troubleshoot production Kubernetes clusters and cloud-native applications across public cloud, bare-metal, datacenter, and edge environments.

• Build automation, integrations, infrastructure tooling, and maintainable software to support repeatable deployments and reliable operations.

• Guide customer implementations from initial working capabilities through production readiness, scaled adoption, and operational handoff.

• Work across Kubernetes platforms, cloud infrastructure, Linux systems, GPU-enabled environments, data pipelines, and high-performance networking technologies.

• Design and support infrastructure for AI workloads, including GPU provisioning, drivers, container runtimes, Kubernetes scheduling, telemetry, and workload frameworks.

• Support the implementation and operation of AI data and model workflows, from data ingestion and preparation through deployment, inference, monitoring, and feedback.

• Troubleshoot complex distributed systems and networking issues, including routing, switching, DNS, load balancing, overlays, latency, bandwidth, congestion, and packet-level problems.

• Apply infrastructure-as-code, configuration automation, CI/CD, and GitOps practices to improve deployment consistency and operational efficiency.

• Address Kubernetes security and multi-tenancy requirements, including access controls, network policies, admission controls, resource quotas, secrets management, and tenant isolation.

• Collaborate with customer engineers, operators, technical leaders, and executives, clearly communicating architectural decisions, tradeoffs, delivery status, and emerging risks.

• Work closely with other forward-deployed engineering resources and deployment strategy stakeholders to coordinate technical execution and customer outcomes.

• Identify delivery risks early, communicate changes directly, and prioritize work to maintain progress in complex or evolving environments.

• Document architectures, configurations, operational procedures, and lessons learned to support customer independence and future deployments.

• Share implementation feedback with Product and Engineering teams, helping improve platform capabilities, automation, reference architectures, and deployment practices.

• Travel onsite to customer locations when needed for discovery, deployment, testing, and key operational milestones.

Requirements

The ideal candidate combines strong Kubernetes and infrastructure engineering expertise with software development skills and sound customer-facing judgment. You should be comfortable moving between code, architecture, infrastructure, networking, and stakeholder discussions while maintaining a clear focus on customer outcomes.

• Bachelor’s degree in Computer Science, Computer Engineering, Information Systems, or a related technical discipline, or equivalent practical experience.

• At least 6 years of professional experience in software engineering, platform engineering, site reliability engineering, DevOps, infrastructure engineering, solutions engineering, or a comparable customer-facing 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, with the ability to develop maintainable, tested, production-quality code.

• Hands-on experience with infrastructure as code and configuration automation tools such as Terraform, Ansible, Cluster API, Helm, and Kustomize, or equivalent technologies.

• Experience implementing CI/CD or GitOps workflows using tools such as GitHub Actions, GitLab CI, Jenkins, Argo CD, or Flux.

• Working knowledge of Kubernetes security and multi-tenancy, including RBAC, namespaces, network policies, admission controls, quotas, secrets, pod security, and tenant isolation.

• Experience with at least one major public cloud provider and at least one datacenter deployment model, such as bare metal, VMware, KubeVirt, Proxmox, or OpenStack.

• Working knowledge of GPU-enabled infrastructure, including firmware, drivers, CUDA, container runtimes, Kubernetes scheduling, device plugins, telemetry, and workload frameworks.

• Understanding of the AI data and model lifecycle, from data ingestion through model deployment, inference, monitoring, and feedback.

• Strong 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.

• Excellent communication skills, with the ability to explain architecture, technical tradeoffs, project status, and risks to engineers, operators, executives, and nontechnical stakeholders.

• Demonstrated ability to navigate ambiguous requirements, prioritize effectively, and deliver incremental value in a fast-moving environment.

• Willingness and ability to work onsite with customers for discovery, deployment, testing, and operational milestones.

• Authorization to work in the United States and ability to meet customer-specific access requirements.

The following qualifications are considered strong advantages:

• 8 or more years of relevant experience, including ownership of complex production deployments or strategic customer programs.

• Direct experience with Palette, PaletteAI, Cluster API, Kubernetes fleet management, edge Kubernetes, or declarative full-stack lifecycle platforms.

• Current CKA, CKS, CKAD, or relevant cloud, networking, security, or NVIDIA certifications.

• Production experience designing or operating NVIDIA Cloud Partner (NCP) or comparable multi-tenant GPU cloud environments.

• Deep expertise in tenant isolation across bare-metal infrastructure, 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, Slurm, Volcano, KAI, Ray, Kubeflow, or ClearML.

• Experience with distributed training or high-throughput inference using H100, H200, B200, GB200, GB300, or other modern accelerator platforms.

• Hands-on experience designing or operating NVIDIA Spectrum-X Ethernet fabrics, Quantum InfiniBand, ConnectX adapters, BlueField DPUs or SuperNICs, DOCA, or comparable high-speed, low-latency networking technologies.

• Experience configuring or troubleshooting GPUDirect RDMA, GPUDirect Storage, RDMA, RoCE, PFC, ECN, ECMP, SR-IOV, Multus, 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, as well as 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, and metadata or lineage systems.

• Experience working 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.

Benefits

• Fully remote position within the United States.

• Opportunity to work on advanced technologies spanning Kubernetes, cloud infrastructure, GPU systems, AI platforms, and high-performance networking.

• Direct involvement in complex, high-impact customer deployments and strategic technical initiatives.

• Broad technical ownership and the opportunity to influence customer architectures and operational outcomes.

• Close collaboration with experienced Field Engineering, Product, and Engineering teams.

• Opportunity to contribute to reusable software, automation, reference architectures, and improvements to future customer deployments.

• A collaborative, diverse, and fast-paced work environment that encourages innovation, professional growth, and meaningful technical contributions.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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Remote jobs in the United States