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Executive 300K Plus Jobs (NOW HIRING)

Venatrix

Enterprise Account Executive

Chicago, IL

$320K/yr

AI | SaaS | Hybrid | OTE $300k | High-Growth Legal Tech | Enterprise New Business Anonymously ... Package & Progression Competitive base salary of $120k-$150k with realistic OTE up to $320k, plus ...

HCRC Staffing

Neurologist Vineland NJ

Vineland, NJ · On-site

$270K - $300K/yr

Salary (range): * $270k-$300k plus bonus compensation We compensate our physicians well and offer ... Please send your resume to brian@hcrcstaffing.com Brian Torchin / CEO HCRC Staffing Office 800-472 ...

HCRC Staffing

Neurologist Cherry Hill NJ

Cherry Hill, NJ · On-site

$270K - $300K/yr

Salary (range): * $270k-$300k plus bonus compensation We compensate our physicians well and offer ... Please send your resume to brian@hcrcstaffing.com Brian Torchin / CEO HCRC Staffing Office 800-472 ...

Expedient

Account Executive

Dallas, TX · On-site

$200K - $250K/yr

On target earnings $200k to $300k after ramp WORKING FOR EXPEDIENT We prioritize ongoing education ... tenure plus your birthday off and a health holiday to be used for preventive care. We offer ...

Expedient

Account Executive

Dallas, TX · On-site

$200K - $250K/yr

On target earnings $200k to $300k after ramp WORKING FOR EXPEDIENT We prioritize ongoing education ... tenure plus your birthday off and a health holiday to be used for preventive care. We offer ...

Embrace

Enterprise Account Executive

$225K - $300K/yr

Familiarity with DevOps, mobile development, or observability is a strong plus * Experience ... 300k. Actual compensation may vary based on level, experience, and skillset as assessed in the ...

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What profession makes $400,000 a year?

Executives such as Chief Executive Officers (CEOs), Chief Financial Officers (CFOs), and other C-suite leaders often earn $400,000 or more annually, especially in large corporations. High-level professionals in finance, law, and specialized medical fields can also reach this income level, often requiring advanced degrees, extensive experience, and leadership responsibilities.

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Executive roles such as senior corporate executives, investment bankers, and specialized medical professionals often earn around $250,000 or more annually. These positions typically require advanced degrees, extensive experience, and strong leadership or technical skills. Compensation can vary based on industry, location, and company size.

What occupations make 500,000 a year?

Executives such as CEOs, CFOs, and other C-suite leaders often earn $500,000 or more annually, especially in large corporations or industries like finance, technology, and healthcare. High-level professionals in investment banking, private equity, and specialized medical fields can also reach or exceed this income level, often requiring advanced degrees, extensive experience, and strong negotiation skills.

What jobs can I do to make $300,000 a year?

Executive roles such as Chief Executive Officer (CEO), Chief Financial Officer (CFO), and Chief Operating Officer (COO) often have annual compensation exceeding $300,000, especially in large organizations. Other high-paying careers include specialized medical professionals like surgeons, experienced attorneys, and successful entrepreneurs, often requiring advanced degrees, extensive experience, and strong leadership or technical skills.
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Executive 300K Plus jobs near you
Infographic showing various Executive 300K Plus job openings in the United States as of June 2026, with employment types broken down into 83% Full Time, 5% Part Time, and 12% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution.

Member of Technical Staff - GPU Infrastructure

Prime Intellect

San Francisco, CA • On-site, Remote

$150/hr

Full-time

Posted 20 days ago

Job description

Building Open Superintelligence Infrastructure
Prime Intellect is building the open superintelligence stack - from frontier agentic models to the infra that enables anyone to create, train, and deploy them. We aggregate and orchestrate global compute into a single control plane and pair it with the full rl post-training stack: environments, secure sandboxes, verifiable evals, and our async RL trainer. We enable researchers, startups and enterprises to run end-to-end reinforcement learning at frontier scale, adapting models to real tools, workflows, and deployment contexts.
As our Solutions Architect for GPU Infrastructure, you'll be the technical expert who transforms customer requirements into production-ready systems capable of training the world's most advanced AI models.
We recently raised $15mm in funding (total of $20mm raised) led by Founders Fund, with participation from Menlo Ventures and prominent angels including Andrej Karpathy (Eureka AI, Tesla, OpenAI), Tri Dao (Chief Scientific Officer of Together AI), Dylan Patel (SemiAnalysis), Clem Delangue (Huggingface), Emad Mostaque (Stability AI) and many others.
Core Technical Responsibilities
This customer-facing role combines deep technical expertise with hands-on implementation. You'll be instrumental in:
Customer Architecture & Design
  • Partner with clients to understand workload requirements and design optimal GPU cluster architectures
  • Create technical proposals and capacity planning for clusters ranging from 100 to 10,000+ GPUs
  • Develop deployment strategies for LLM training, inference, and HPC workloads
  • Present architectural recommendations to technical and executive stakeholders

Infrastructure Deployment & Optimization
  • Deploy and configure orchestration systems including SLURM and Kubernetes for distributed workloads
  • Implement high-performance networking with InfiniBand, RoCE, and NVLink interconnects
  • Optimize GPU utilization, memory management, and inter-node communication
  • Configure parallel filesystems (Lustre, BeeGFS, GPFS) for optimal I/O performance
  • Tune system performance from kernel parameters to CUDA configurations

Production Operations & Support
  • Serve as primary technical escalation point for customer infrastructure issues
  • Diagnose and resolve complex problems across the full stack - hardware, drivers, networking, and software
  • Implement monitoring, alerting, and automated remediation systems
  • Provide 24/7 on-call support for critical customer deployments
  • Create runbooks and documentation for customer operations teams

Technical Requirements
Required Experience
  • 3+ years hands-on experience with GPU clusters and HPC environments
  • Deep expertise with SLURM and Kubernetes in production GPU settings
  • Proven experience with InfiniBand configuration and troubleshooting
  • Strong understanding of NVIDIA GPU architecture, CUDA ecosystem, and driver stack
  • Experience with infrastructure automation tools (Ansible, Terraform)
  • Proficiency in Python, Bash, and systems programming
  • Track record of customer-facing technical leadership

Infrastructure Skills
  • NVIDIA driver installation and troubleshooting (CUDA, Fabric Manager, DCGM)
  • Container runtime configuration for GPUs (Docker, Containerd, Enroot)
  • Linux kernel tuning and performance optimization
  • Network topology design for AI workloads
  • Power and cooling requirements for high-density GPU deployments

Nice to Have
  • Experience with 1000+ GPU deployments
  • NVIDIA DGX, HGX, or SuperPOD certification
  • Distributed training frameworks (PyTorch FSDP, DeepSpeed, Megatron-LM)
  • ML framework optimization and profiling
  • Experience with AMD MI300 or Intel Gaudi accelerators
  • Contributions to open-source HPC/AI infrastructure projects

Growth Opportunity
You'll work directly with customers pushing the boundaries of AI, from startups training foundation models to enterprises deploying massive inference infrastructure. You'll collaborate with our world-class engineering team while having direct impact on systems powering the next generation of AI breakthroughs.
We value expertise and customer obsession - if you're passionate about building reliable, high-performance GPU infrastructure and have a track record of successful large-scale deployments, we want to talk to you.
Apply now and join us in our mission to democratize access to planetary scale computing.
Compensation
Cash Compensation Range of $150-300k plus Equity Incentives

Apply