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X9 Jobs (NOW HIRING)

WET Design

CNC Machinist-Programmer

Sun Valley, CA · On-site

$27.25 - $37.25/hr

Program and run Mastercam (X9 or newer) for advanced operations, with an emphasis on Haas and Mazak machines * Design, fabricate, and refine custom tools, fixtures, and jigs-supporting rapid ...

Staffingine LLC

Oracle Architect

Frisco, TX · On-site

Implement and manage Exadata X9 hardware including persistent memory PMem and RDMA algorithms to optimize performance and reduce latency * Deploy and manage Exadata X1110M98 hardware leveraging its ...

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X9 information

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How much do x9 jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for x9 in the United States is $30.96, according to ZipRecruiter salary data. Most workers in this role earn between $25.48 and $34.86 per hour, depending on experience, location, and employer.

What is X9 in banking?

X9 in banking typically refers to the X9.11 standard, which is a set of data formats used for electronic check image exchange and remote deposit capture. Professionals in banking use X9 standards to ensure secure and accurate transmission of financial data, often requiring familiarity with imaging and data security protocols.

What are common 9-5 jobs?

Common 9-5 jobs include administrative assistants, customer service representatives, office managers, and data entry clerks. These roles typically involve standard daytime hours in office environments and often require basic computer skills and communication abilities.

What are X9 professionals?

X9 professionals refer to individuals who specialize in the X9 field, which may involve expertise in a particular industry, technology, or set of standards. The term 'X9' can be context-dependent, but often relates to professionals working with financial industry standards, such as the Accredited Standards Committee X9 that develops standards for the financial services industry in areas like payments, securities, and data security. These professionals play a crucial role in ensuring the integrity and efficiency of financial systems by developing and maintaining industry standards.

What 9 to 5 job pays the most?

In a typical 9 to 5 schedule, executive roles such as chief executives, anesthesiologists, and specialized surgeons tend to have the highest salaries. These positions often require advanced education, certifications, and significant experience, and they usually offer high compensation due to the level of responsibility involved.

What are the key skills and qualifications needed to thrive as a X9, and why are they important?

I'm sorry, but 'X9' does not appear to be a recognized real-world professional occupation, so I cannot generate an accurate response.

What job is best for enneagram 9?

The X9 role is well-suited for enneagram 9 individuals, as it often involves collaborative work, conflict avoidance, and maintaining harmony. Jobs that require patience, empathy, and teamwork—such as counseling, social work, or customer service—align well with enneagram 9 traits. These roles typically offer a peaceful environment and opportunities for supportive interactions.

What is the difference between X9 vs X8?

AspectX9X8
Required CertificationsCertified Data Analyst (CDA), SQL, ExcelCertified Data Analyst (CDA), SQL, Excel
Work EnvironmentOffice, remote, client sitesOffice, remote, client sites
Industry UsageBusiness, finance, healthcareBusiness, finance, healthcare
Common Search IntentData analysis, reporting, insightsData analysis, reporting, insights

The comparison between X9 and X8 shows they share similar certifications, work environments, and industry usage. Both roles focus on data analysis and reporting, making them closely related in the job market. The main differences may lie in specific company requirements or project focus, but overall, they are highly comparable roles in the data analysis field.

Infographic showing various X9 job openings in the United States as of June 2026, with employment types broken down into 72% Full Time, 26% Part Time, and 2% Contract. Highlights an 96% Physical, and 4% Remote job distribution, with an average salary of $64,389 per year, or $31 per hour.
Edge AI/Model Optimization Engineer

Edge AI/Model Optimization Engineer

NextGen Federal Systems

Aberdeen, MD • On-site

$123K - $147K/yr

Full-time

Posted 26 days ago

Job description

NextGen is seeking a highly motivated and technically skilled Edge AI/Model Optimization Engineer to support the deployment, optimization, and sustainment of AI and agentic AI capabilities within edge and tactical computing environments. This role focuses on evaluating, tuning, benchmarking, and operationalizing Large Language Models (LLMs), embedding models, and AI inference services for constrained hardware platforms, including the X9 Spider Mission Computer architecture and other edge compute systems supporting operational missions using ReadiChat.
ReadiChat is a mission-focused, agentic AI platform designed to help organizations build, deploy, govern, and scale specialized AI agents for operational workflows. It combines AI agents, workflow orchestration, grounded knowledge, testing frameworks, and enterprise controls into a single collaborative workspace.
The ideal candidate will possess expertise in AI model optimization, GPU-enabled edge computing, runtime performance tuning, and operational AI deployment. This role requires close collaboration with AI engineers, systems integrators, mission stakeholders, and operational users to ensure AI-enabled capabilities remain performant, reliable, and mission-effective within disconnected, degraded, intermittent, and low-bandwidth environments.
Responsibilities
  • Evaluate candidate Large Language Models (LLMs), embedding models, and AI inference solutions for quality, latency, memory utilization, reliability, and operational performance on embedded GPU-enabled edge compute platforms, including the X9 Spider Mission Computer architecture.
  • Tune and optimize AI model runtime configurations for edge deployment, including quantization strategies, batching configurations, context window sizing, cache behavior, inference scheduling, and GPU memory utilization specific to operational edge hardware environments.
  • Collaborate with customer stakeholders to assess mission requirements and evaluate alternative edge compute platforms when operational demands exceed X9 Spider capabilities or when cost, performance, power, size, weight, or thermal tradeoffs require additional analysis.
  • Benchmark agentic AI workflows, inference pipelines, and model-serving architectures against target hardware constraints and operational performance thresholds.
  • Recommend model-selection, runtime, and configuration tradeoffs balancing mission effectiveness, latency, throughput, resource utilization, reliability, and operational sustainability.
  • Build and maintain repeatable performance and stress-testing frameworks for evaluating latency, throughput, tool-call overhead, failover behavior, degraded-resource conditions, and disconnected operational scenarios on edge compute platforms.
  • Package, deploy, validate, and sustain local model-serving components and inference services to support reliable operation within tactical and edge environments.
  • Collaborate with agent engineers, AI developers, and integration teams to validate that agent behavior, workflow reliability, and operational outcomes remain acceptable following model compression, quantization, runtime optimization, or hardware configuration changes.
  • Support deployment, troubleshooting, optimization, and sustainment activities for AI-enabled applications operating in edge, airborne, tactical, or disconnected operational environments.
  • Train customer technical personnel on supported model profiles, operational constraints, runtime tuning considerations, deployment limitations, troubleshooting procedures, and platform sustainment best practices.
  • Maintain technical documentation, benchmarking results, model validation reports, deployment procedures, optimization baselines, configuration guides, and operational support materials.
  • Support DevSecOps and CI/CD activities associated with AI model packaging, deployment automation, runtime validation, and operational release processes.

Required Qualifications
  • Bachelor's degree in Computer Science, Electrical Engineering, Computer Engineering, Data Science, Artificial Intelligence, or related technical discipline.
  • 5+ years of experience supporting AI/ML deployment, model optimization, edge computing, GPU acceleration, or AI inference operations.
  • Experience deploying and optimizing LLMs, embedding models, or AI inference pipelines within resource-constrained or edge-compute environments.
  • Experience with GPU-enabled systems and inference optimization technologies such as CUDA, TensorRT, ONNX Runtime, vLLM, Ollama, or equivalent platforms.
  • Experience tuning AI runtime configurations including quantization, batching, caching, and memory optimization techniques.
  • Experience benchmarking AI models and operational workflows against hardware performance constraints.
  • Experience with Linux-based systems, containerized deployments, and orchestration technologies such as Docker and Kubernetes.
  • Familiarity with Python and AI/ML deployment frameworks commonly used for edge inference and operational AI systems.
  • Strong analytical, troubleshooting, and performance optimization skills.
  • Ability to communicate technical findings and operational tradeoffs effectively to technical and non-technical stakeholders.
  • Active Security Clearance is required

Desired Qualifications
  • Experience supporting tactical, airborne, or mission-command edge computing environments.
  • Familiarity with X9 Spider Mission Computer architectures or similar embedded GPU-enabled mission systems.
  • Experience supporting AI-enabled workflows within NGC2, AIDP, EMSCO, Lattice, or related operational ecosystems.
  • Experience with model quantization techniques such as INT8, FP16, GGUF, GPTQ, AWQ, or similar optimization approaches.
  • Familiarity with disconnected, degraded, intermittent, and low-bandwidth (DDIL) operational environments.
  • Experience with hardware evaluation and performance trade studies for operational edge compute systems.

About NextGen:
NextGen Federal Systems is an innovative technology and professional services provider specializing in advanced software solutions and comprehensive mission and business support services. We work in close collaboration with our customers to truly understand their business and mission goals. Our approach is to design, build, implement, and manage solutions that measurably improve our client's organizational performance. We have established and foster a corporate culture where we:
  • Treat employees with fairness and respect regardless of their position, sexual identity, race, or tenure.
  • Communicate the importance of our mission and our employees' contributions to it, ensuring they understand how their job role contributes to the greater good.
  • Openly promote and communicate our ideas for change and adaptability.
  • Strive to achieve results as an organization.
  • Hold employees accountable to their commitments and provide incentives that encourage positive and productive behaviors.
  • Value the talents and contributions of our employees as the key factor for our success.
  • Create an environment where people can engage at all levels.
  • Encourage people to take risks and allow them to make mistakes.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities.
RefID: A01

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