ai infrastructure engineer

Openkyber

<div>We are looking for FullStack AI Engineer for our client in Malvern, PA Job Title: FullStack AI Engineer Job Location: Malvern, PA Job Type: Contract Job Description: Pay Range: $65hr - $70hr Solution Design Implementation Design and implement endtoend generative AI solutions leveraging services like Amazon Bedrock including Agents Knowledge Bases and Guardrails. Model Development Optimization Finetune and customize large language models LLMs and other generative models GANs VAEs for specific business needs ensuring optimal performance and scalability. Prompt Engineering RAG Apply prompt engineering methodologies and build RetrievalAugmented Generation RAG systems to enhance model accuracy reliability and contextual understanding. Build CICD pipelines to automate the model lifecycle including training deployment monitoring and retraining. Cloud Infrastructure IaC Develop and manage robust cloud infrastructure using Infrastructure as Code IaC tools like AWS CloudFormation AWS CDK or Terraform. Collaboration Documentation Work with product managers to integrate AI capabilities into existing systems and create technical documentation best practices and tutorials. Security Compliance Ensure all AI solutions meet AWS best practices for security compliance scalability and cost optimization. Proficiency in Python is essential along with experience in languages like Java or TypeScript. Handson experience with core AWS services including S3 Lambda EC2 DynamoDB API Gateway Step Functions Glue and Athena Strong understanding and experienc in orchestration frameworks like LangChain. Technical Concepts Expertise in Generative AI architectures LLMs vector databases statistical methods and data processing. Strong problemsolving analytical and communication skills for working in crossfunctional teams and interacting with customers.
For applications and inquiries, contact: hirings@openkyber.com</div>

OCI AI Infrastructure Engineer

NiCE

<div><div>At NiCE, we don&rsquo;t limit our challenges. We challenge our limits. Always. We&rsquo;re ambitious. We&rsquo;re game changers. And we play to win. We set the highest standards and execute beyond them. And if you&rsquo;re like us, we can offer you the ultimate career opportunity that will light a fire within you.</div><div><h2 class="jobSectionHeader">
Overview</h2>

We&rsquo;re looking for an AI Engineer with strong expertise in Voice, Network, and Compute infrastructure automation. You will design and deploy AI‑driven automation that improves reliability, performance, and operational efficiency across large‑scale systems. This role emphasizes agent‑based automation, MCP‑style service frameworks, and reusable Skills that enable intelligent workflows across infrastructure platforms.
<h2 class="jobSectionHeader">
What You&rsquo;ll Do</h2>
<ul><li>Build AI/ML‑powered automation for Voice, Network, and Compute platforms.</li>
<li>Design and deploy Model Context Protocol (MCP)&ndash;style servers or similar agent service layers that expose infrastructure capabilities as secure, reusable AI‑callable actions.</li>
<li>Develop Skills and tools for workflow automation, enabling LLM‑driven agents to execute operational tasks, diagnostics, and remediation safely and deterministically.</li>
<li>Create intelligent systems for anomaly detection, forecasting, root cause analysis, and self‑healing.</li>
<li>Integrate automation with SBCs, SIP systems, routers/switches, load balancers (F5, Palo Alto, Arista), VMware, Kubernetes, and cloud compute platforms.</li>
<li>Build APIs, Skills, and agent workflows that connect with observability, CMDB, and ticketing platforms (Grafana, Prometheus, ServiceNow, etc.).</li>
<li>Implement Infrastructure‑as‑Code using Terraform, Ansible, or similar tools.</li>
<li>Partner with operations teams to eliminate manual work, improve uptime, and accelerate incident response.</li>
<li>Define guardrails, permissions, and validation layers to ensure AI‑driven automation operates safely in production environments.</li>
</ul><h2 class="jobSectionHeader">What You Bring</h2>
<ul><li>5+ years of experience in AI/ML engineering, automation engineering, or infrastructure engineering.</li>
<li>Strong Python development skills, including API and service development.</li>
<li>Hands‑on experience with:
<ul><li>Voice: SIP, SBCs, call flows</li>
<li>Network: routing/switching, F5, Palo Alto, Arista</li>
<li>Compute: VMware, Kubernetes, and cloud platforms</li>
</ul></li><li>Experience building or operating MCP‑like services, agent backends, or tool‑calling frameworks that allow LLMs to interact with real systems.</li>
<li>Proven ability to create modular Skills or tools for workflow automation and agent execution.</li>
<li>Experience with ML frameworks and LLM orchestration tools.</li>
<li>Solid understanding of CI/CD, GitOps, containers, and orchestration.</li>
</ul><h2 class="jobSectionHeader">Bonus Skills</h2>
<ul><li>Cloud‑native automation experience (AWS Lambda, Azure Functions, GCP Cloud Functions).</li>
<li>Knowledge of Kafka or other event/streaming frameworks.</li>
<li>Experience with policy engines, RBAC, and safety controls for AI automation.</li>
<li>Networking, cloud, or automation certifications.</li>
</ul><h2 class="jobSectionHeader">Why This Role Matters</h2>

You will help build the next generation of intelligent, self‑driving infrastructure, where AI agents, MCP‑style services, and reusable Skills replace fragile scripts and manual runbooks. Your work will reduce toil, improve system reliability, and enable teams to operate infrastructure at scale with speed, safety, and resilience.</div><div>
About NiCE
NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.
Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.
NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.</div></div>

AI Automation Infrastructure Engineer

Dizzaract FZ LLC

About DizzaractDizzaract is a UAE-based game development studio founded in 2022, headquartered at Yas Creative Hub, Abu Dhabi. We develop cutting-edge AI-powered games and systems, including our innovation R&amp;D laboratory FAR labs, the upcoming hero shooter Farcana, and the AI gaming identity platform GAMED. Our research and development team boasts over 100 peer-reviewed papers and more than 20 patents in AI-driven gameplay, digital ownership, and competitive design. With a diverse team of more than 80 professionals from over 20 countries, we are committed to innovation, excellence, and building a culture that drives performance and results.The Mission: We are building a highly optimized, decentralized AI inference network. To beat the latency and throughput of established centralized players, we cannot rely on off-the-shelf wrappers. You will be responsible for building the bare-metal, ultra-low-latency infrastructure that serves large language models and multimodal networks at unprecedented scale.What You Will Do:<ul><li>Core Engine Development: Architect and write highly optimized, low-level code (primarily in Rust and C) to manage model loading, memory allocation, and request batching across a distributed fleet of GPUs/NPUs.</li><li>Hardware-Aware Optimization: Implement tensor mathematics optimizations and custom kernels (CUDA/Triton) to squeeze maximum FLOPS out of the hardware.</li><li>Zero-Intervention Deployments: Build rock-solid, fully packaged infrastructure pipelines. We operate with zero manual intervention&mdash;no ad-hoc scripts, no PowerShell bandaids. If a node fails, the network must heal autonomously.</li><li>Decentralized Orchestration: Design the peer-to-peer or decentralized routing logic that ensures high availability and optimal load balancing across geographically distributed nodes.</li><li>Advanced Inference Techniques: Implement and optimize techniques like continuous batching, speculative decoding, and paged attention (vLLM, TensorRT-LLM) customized for our specific network architecture.</li></ul>What We Are Looking For:<ul><li>Deep expertise in systems programming (Go) and a strong aversion to bloated, high-level abstractions where performance matters.</li><li>Proven experience with GPU programming (CUDA, ROCm) and low-level hardware architecture.</li><li>Strong understanding of deep learning architectures (Transformers, Mamba) and how tensor operations execute on silicon.</li><li>Experience building highly concurrent, distributed systems with sub-millisecond network latency requirements.</li></ul>Work Location: In person

AI Inference Infrastructure Engineer

Shahzada Group of Industries

We are seeking an experienced AI Infrastructure &amp; Automation Engineer to join our team. In this role, you will be the bridge between high-level AI application logic and the underlying hardware that powers it. You will own the responsibility of scaling our AI operations, ensuring our LLM workflows run efficiently on centralized GPU infrastructure, and automating our backend systems. If you have a passion for building robust AI pipelines and optimizing server performance, we want to hear from you.Key Responsibilities<ul><li>Infrastructure Management: Architect, deploy, and maintain centralized GPU server clusters to ensure high availability and performance for LLM training and inference.</li><li>LLM Integration: Develop and maintain backend logic to integrate Large Language Models (LLMs) into production-grade applications.</li><li>Automation: Build end-to-end automation workflows that reduce manual operational tasks, utilizing tools like N8N, Make, or custom Python scripts.</li><li>System Optimization: Monitor and tune server resources to maximize GPU utilization and minimize inference latency.</li><li>Pipeline Development: Create and manage data pipelines for ingestion, preprocessing, and model fine-tuning.</li><li>Scalability: Troubleshoot hardware/software bottlenecks and scale our infrastructure as our AI service demand grows.</li></ul>Required Qualifications<ul><li>Deep Technical Expertise: 3+ years of experience in AI/ML infrastructure, systems engineering, or a similar technical role.</li><li>GPU &amp; Server Knowledge: Hands-on experience with managing GPU-accelerated servers (e.g., NVIDIA stack, CUDA, and containerization with Docker/Kubernetes).</li><li>LLM Proficiency: Practical experience with deploying and fine-tuning LLMs (e.g., Llama, OpenAI API, Mistral) in production environments.</li><li>Programming: Strong proficiency in Python and experience with MLOps frameworks.</li><li>System Integration: Proven ability to connect APIs, webhooks, and databases to build cohesive, automated business workflows.</li><li>Problem-Solving: A &quot;builder&quot; mindset with the ability to identify infrastructure bottlenecks and implement solutions proactively.</li></ul>Job Type: Full-timePay: Rs80,000.00 - Rs120,000.00 per monthWork Location: In person

Lead AI Automation Engineer (LLM & GPU Infrastructure)

Qualcomm

<div><h2 class="jobSectionHeader">Company:
</h2>Qualcomm Middle East Information Technology Company LLC
<h2 class="jobSectionHeader">Job Area:
</h2>Engineering Group, Engineering Group &gt; Software Test Engineering
General Summary:
About Us
<div>Qualcomm is growing its presence in Riyadh and is hiring Data Centre Engineers to support our expanding infrastructure across the region . As Saudi Arabia accelerates its digital transformation under Vision 2030, Qualcomm is investing in world‑class computing and data centre capabilities to power AI, cloud, and advanced connectivity at scale. This is a unique opportunity to work in a fast‑growing technology hub, supporting critical environments and helping shape the future of data centre operations in the Kingdom and beyond.
</div>About the Role
We are looking for a Site Reliability Engineer or Senior Engineer &ndash; Datacentre AI Engineering at Qualcomm Technologies, Inc., located in Riyadh, Saudi Arabia.
The role focuses on the design, operation, and continuous improvement of large‑scale AI inference systems in a datacenter environment. The engineer will support critical AI use cases by ensuring Qualcomm&rsquo;s AI infrastructure is reliable, scalable, and production‑ready for advanced machine‑learning workloads.
The role requires strong systems and software engineering fundamentals, hands‑on execution, and the ability to work independently on complex problem areas while collaborating closely with cross‑functional teams across hardware, software, and machine learning.
Ideal candidates will have 2-8 years of experience
Key Responsibilities will include
Key Responsibilities
1. AI Infrastructure
<ul><li>Design, deploy, and operate large‑scale AI inference systems supporting critical AI workloads.
</li><li>Ensure reliability, availability, and scalability of Qualcomm datacenter AI clusters.
</li><li>Develop and maintain software tools and support infrastructure around AI software stacks.
</li></ul>2. AI &amp; ML Engineering
<ul><li>Analyze software requirements and collaborate with architecture and hardware engineers to support AI workloads.
</li><li>Build, deploy, and operate components supporting LLM inference, agentic AI workflows, and AI services.
</li><li>Work with models, systems, and software teams to improve model performance on AI100 deployments.
</li><li>Identify and implement optimizations for workloads running on multi‑SoC and multi‑card systems.
</li></ul>3. Site Reliability Engineering (SRE)
<ul><li>Apply SRE fundamentals including monitoring, alerting, incident response, and performance optimization.
</li><li>Support production ML systems using MLOps tools and operational best practices.
</li><li>Contribute to incident reviews, operational documentation, and continuous reliability improvements.
</li></ul>4. Observability &amp; Tooling
<ul><li>Build and maintain observability tools, dashboards, and alerts to monitor system health and reliability.
</li><li>Monitor infrastructure and services using tools such as Prometheus, Grafana, CloudWatch, and custom telemetry.
</li><li>Create and maintain technical documentation, runbooks, and knowledge‑base articles.
</li></ul>5. Automation &amp; CI/CD
<ul><li>Develop automation to reduce manual operational tasks and improve system reliability.
</li><li>Support CI/CD pipelines for AI service and agent deployment.
</li><li>Apply Infrastructure‑as‑Code practices using tools such as Terraform and Ansible.
</li></ul><div></div>Required Skillset
1. AI &amp; Deep Learning
<ul><li>Experience working with AI/ML workloads such as LLMs, NLP, Vision, Audio, or Recommendation systems.
</li><li>Understand ML inference concepts including batching, token streaming, and performance considerations.
</li><li>Hands‑on experience with PyTorch and familiarity with modern ML frameworks.
</li><li>Familiarity with distributed inference, checkpointing, and accelerator‑based compute environments.
</li></ul>2. AI Operations
<ul><li>Experience supporting AI or ML applications in production environments.
</li><li>Familiarity with LLM inference pipelines and AI service operations.
</li></ul>3. Programming &amp; Software Design
<ul><li>Strong programming skills in Python with experience building and supporting production systems.
</li><li>Experience with scripting and automation using Python and Bash.
</li><li>Familiarity with configuration management and orchestration tools.
</li></ul>4. Systems &amp; Infrastructure
<ul><li>Strong Linux fundamentals include shell, containers, system services, and networking basics (DNS, TLS, HTTP/gRPC).
</li><li>Experience working with cluster schedulers such as Slurm or equivalent systems.
</li><li>Experience operating distributed systems with high availability and fault tolerance.
</li></ul>5. Observability &amp; Monitoring
<ul><li>Hands‑on experience with monitoring and logging tools such as Prometheus, Grafana, ELK, or Loki.
</li><li>Understanding of incident management, service health metrics, and system reliability monitoring.
</li></ul>6. DevOps &amp; SRE Practices
<ul><li>Solid understanding of SDLC, release processes, and operational reliability practices.
</li><li>Familiarity with CI/CD pipelines and Infrastructure‑as‑Code tools.
</li></ul><div></div>Preferred Skillset
<ul><li>Experience with GenAI, Agentic AI systems, or LLM orchestration frameworks.
</li><li>Exposure to LangChain, AutoGen, or RAG‑based systems.
</li><li>Experience with additional ML frameworks such as TensorFlow, JAX, or Ray.
</li><li>Knowledge of GPU/accelerator‑based systems and high‑performance networking (RDMA, InfiniBand, RoCE).
</li><li>Experience with advanced MLOps workflows or large‑scale AI platform operations.
</li></ul><div></div>Qualifications
<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in engineering, Computer Science, AI/ML, or a related field.
</li><li>2&ndash;8 years of software, systems, or infrastructure engineering experience, preferably in production or datacenter environments.
</li></ul>What's on Offer
Apart from working with great people, we offer the below:
<ul><li>Salary including housing &amp; transport allowance
</li><li>Stock (RSU's) and performance related bonus
</li><li>16 weeks fully paid Maternity Leave
</li><li>6 weeks fully paid Paternity Leave
</li><li>Employee stock purchase scheme
</li><li>Child Education Allowance
</li><li>Relocation and immigration support (if needed)
</li><li>Life and Medical Insurance
</li><li>Live+ Well Reimbursement for health and recreational membership fees
</li></ul>Minimum Qualifications:
<ul><li>Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.
</li></ul>OR
 
Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.
 
OR
 
PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
 
 
<ul><li>2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.
</li></ul>*References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.
<div>Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
</div>Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
If you would like more information about this role, please contact Qualcomm Careers .</div>

Infrastructure & Site Reliability Engineer – Datacentre AI Engineering - Riyadh, KSA

Crossing Hurdles

<div>
 
 Crossing Hurdles is a global recruitment firm partnering with leading US-based startups. We are hiring for a
 
 rapidly growing frontier AI infrastructure company
 
 backed by top-tier venture investors and building core systems for the next generation of AI agents. The company is well-capitalized, growing quickly, and building a highly technical team in
 
 San Francisco
 
 to work on some of the most challenging problems in reinforcement learning and AI infrastructure.
 
 
 
 
 
 
 Role Snapshot:
 
 
 
 
 Role:
 
 Member of Technical Staff
 
 
 
 Compensation:
 
 $160K &ndash; $600K + Competitive Equity
 
 
 
 Location:
 
 San Francisco, US | In-person (6 days/week)
 
 
 
 YOE:
 
 0+ years of experience in full-stack or infrastructure engineering, particularly in low-level systems or as a founding engineer
 
 
 
 Benefits:
 
 Competitive Equity + Visa Sponsorship (evaluated case-by-case)
 
 
 
 
 
 
 Why should you consider?
 
 
 <ul>
 <li>
 Work on reinforcement learning environments and infrastructure powering next-generation AI agents.
 </li>
 <li>
 Collaborate with a highly technical team solving complex systems and AI research problems.
 </li>
 <li>
 Build realistic simulation environments, data systems, and tasks for advanced AI training.
 </li>
 <li>
 High ownership in a fast-growing startup backed by top-tier investors.
 </li>
 <li>
 Operate at the frontier of AI development with meaningful real-world impact.
 </li>
 </ul>
</div>

Full Stack Software Engineer

Lockheed Martin

<div>JOB ID: 724173BR
Date posted: Apr. 13, 2026
 
Description:The Lockheed Martin AI Center, AI Factory is looking for a dynamic engineer who thrives in a fast‑paced, rapid‑response environment. As part of the Mission Enablement Team, you will design and deliver innovative, scalable mission‑centric hardware and cloud‑native solutions that power Lockheed Martin&rsquo;s most advanced mission programs. You&rsquo;ll work hands‑on with cutting‑edge IT and AI infrastructure and translate complex challenges into real‑world capabilities. As an AI Hardware and Full Stack Systems Engineer, you will be responsible for driving the development, modification, testing, deployment, and maintenance of applications and IT infrastructure in support of cutting-edge AI solutions. You will be a key technical resource for our hands-on enablement services, working closely with program engineering teams across all Lockheed Martin business areas to establish IT and AI infrastructure environments. 
What's in it for you? 
<ul><li>Opportunity to be a part of a rapid response, solutions development and innovation team, driving the development of cutting-edge infrastructure solutions</li><li>Exposure to the latest technologies and industry trends in on prem and cloud computing as well as cutting edge artificial intelligence</li><li>You will have a direct impact on the success of Lockheed Martin's AI solutions.
</li><li>Take ownership of innovative solution development and think beyond conventional boundaries</li></ul>
You will be responsible for: 
<ul><li>Being a key technical resource for our hands-on Mission Enablement team, working closely with program engineering teams across all Lockheed Martin business areas</li><li>Designing, developing, documenting, and testing infrastructure hardware
</li><li>Developing creative, straightforward solutions to technical and user experience challenges</li><li>Designing and deploying hardware and cloud-based infrastructure using Infrastructure as</li><li>Code solutions</li><li>Deploying and sustaining complex Kubernetes platform offerings</li><li>Providing inputs towards the architecture solution for software development environments</li><li>Familiarity with AI and Machine Learning Services across cloud and on-premise environments</li><li>Travel to support demonstration integration efforts</li></ul> 
***This position requires frequent access to sensitive and classified networks. The ideal candidate must be based in a location that is conveniently close to a major Lockheed Martin facility*** 
 
#LMLAIC 
Basic Qualifications: 
<ul><li>3 years of demonstrated experience with Linux, Kubernetes and some Windows administration.</li><li>Demonstrated experience with NVDIA GPU, Google TPU or ASICs</li><li>Demonstrated experience with network hardware</li><li>Demonstrated experience with compute, storage and network hardware</li><li>Demonstrated experience with modern software development concepts such as CI/CD, Containerization, Infrastructure as Code.</li><li>Must be near a major Lockheed Martin Facility with classified connectivity.</li><li>Some travel is required.</li><li>A Secret security clearance is required.</li></ul>
Desired Skills: 
<ul><li>Cisco Certified Network Associate (CCNA)</li><li>Cisco Certified Network Professional (CCNP)</li><li>Red Hat Certified System Administrator (RHCSA), Red Hat Certified Engineer (RHCE) or Linux Foundation Certified Systems Administrator (LFCS)</li><li>CompTIA Linux+
</li><li>CompTIA Security+</li><li>3 or more years of experience engineering, managing, and deploying cloud and on prem infrastructure (Azure, AWS, VMware,etc)</li><li>3+ years of experience developing infrastructure software, with strong proficiency in Linux/Unix, Python, Go, and Rust
</li><li>Experience with deployment and management of enterprise Kubernetes infrastructures and associated services</li><li>Demonstrated experience with NVDIA GPU, TPU or ASICs</li><li>Demonstrated experience with network hardware</li><li>Demonstrated experience with on prem shared storage solutions (eg NetApp) and cloud storage solutions (eg S3 or Blob Storage)</li><li>Ability to obtain TS/SCI Clearance</li></ul>
Security Clearance Statement:This position requires a government security clearance, you must be a US Citizen for consideration. 
Clearance Level:TS/SCI 
Other Important Information You Should Know 
Expression of Interest:By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings. 
Ability to Work Remotely:Full-time Remote Telework: The employee selected for this position will work remotely full time at a location other than a Lockheed Martin designated office/job site. Employees may travel to a Lockheed Martin office for periodic meetings. 
Work Schedules:Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits. 
Schedule for this Position:4x10 hour day, 3 days off per week 
Pay Rate: The annual base salary range for this position in most major metropolitan areas in California, Massachusetts, and New York is $136,500 - $236,555. For states not referenced above, the salary range for this position will reflect the candidate&rsquo;s final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer. 
Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays. 
This position is incentive plan eligible. 
Pay Rate: The annual base salary range for this position in California, Massachusetts, and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington or Washington DC is $118,700 - $209,300. For states not referenced above, the salary range for this position will reflect the candidate&rsquo;s final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer. 
Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays.
 
(Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year. 
This position is incentive plan eligible. 
Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. 
The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration. 
At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work.
 
 
With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility. 
 
If this sounds like a culture you connect with, you&rsquo;re invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications. 
Experience Level:Experienced Professional 
Business Unit:ENTERPRISE BUSINESS SERVICES 
Relocation Available:Possible 
Career Area:Information Technology 
Type:Full-Time 
Shift:First</div>
 <div>At Lockheed Martin, we apply our passion for purposeful innovation to keep people safe and solve the world's most complex challenges.
Pioneering Defense Technology: From aerospace to outer space to cyber space, you can innovate mission solutions alongside the best minds in the business.
United By Culture: Excellence, integrity, and collaboration define us. We accelerate change and embrace one another&rsquo;s perspectives to win for our customers.
Real Impact, Real Growth: Grow your career and skills for life. Our wide array of opportunities and technology-driven learning programs enable your development and agility.
Your Health, Your Wealth, Your Life: Competitive pay, comprehensive benefits and flexible schedules designed so you thrive &mdash; at work and beyond.
Empowered to Be Your Best: Use your strengths to make a difference in the lives of one another, our customers, our communities, and our planet.
Here, the possibilities are endless because we offer:
<div></div><ul><div>Flexible Schedules, dependent on role</div>
<div></div><div>Levels: Student, Entry, Mid, Senior, Management</div>
<div></div><div>Locations: Nationwide &amp; OCONUS Positions</div></ul></div>

AI Hardware Engineer and Full Stack Engineer Staff

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