computer engineer

WHIZ-TV

<div>We have a Full-Time I.T. Engineer position available. Two-year technical school, military training, or certifications are beneficial. The candidate must be able to analyze, troubleshoot, maintain, and repair equipment and software.

The ideal candidate will have knowledge of various systems such as:
<ul>
<li>LAN/WAN, VPNs, 802.11, NFS, iSCSI, SMB, VMs/Containers, &amp; SAN/NAS Systems.</li>
<li>Strong familiarity with Linux and Windows Desktops and Servers.</li>
<li>VoIP &amp; PBX Systems.</li>
</ul>
The ideal candidate will also have the following personal attributes:
<ul>
<li>Work independently or as a member of a team.</li>
<li>Excellent organization skills with attention to detail.</li>
<li>Ability to multitask and prioritizing while under tight deadlines.</li>
<li>Troubleshoot and resolve problems quickly and calmly.</li>
<li>Communicate with others with various degrees of technical knowledge.</li>
</ul>
Candidates must also be capable of passing a background check, lifting a minimum of fifty pounds, and must possess a current driver&rsquo;s license, and have reliable transportation. Candidates will be required to be on call after normal business hours.

Applicants can mail or email their resume to: 
Kevin Buente 
629 Downard Road 
Zanesville, OH 43701 
kbuente@whiznews.com

WHIZ / Marquee Broadcasting of Ohio is an Equal Opportunity Employer.
<div><div>Categories: Careers
</div><div>Tags: computer systems engineer, engineer, IT Engineer, news, radio, WHIZ</div></div></div>

Computer Systems Engineer (Full-Time)

MASTER-WORKS

<div>Responsibilities<ul><li>
Solve real-world Computer Vision problems using cutting-edge techniques.</li><li>
Design and implement robust, industry-grade algorithms.</li><li>
Utilize OpenCV, Python, and deep learning frameworks for model training.</li><li>
Work with deep learning libraries such as Keras, TensorFlow, and PyTorch.</li><li>
Develop integrations with internal and external microservices.</li><li>
Implement deployment practices using Docker, Kubernetes, and model compression techniques.</li><li>
Research the latest technologies and develop proof of concepts (POCs).</li><li>
Build and train state-of-the-art deep learning models for:</li><li><ul><li>
Object Detection (Mandatory)</li><li>
Segmentation</li><li>
Classification</li><li>
Object Tracking</li><li>
Visual Style Transfer</li><li>
Generative Adversarial Networks (GANs)</li></ul></li><li>
Collaborate with researchers and engineers to develop and deploy Computer Vision solutions.</li><li>
Plan and execute Computer Vision research projects, defining scope, objectives, and deliverables.</li><li>
Provide specialized technical and scientific research support for ongoing and new AI initiatives.</li></ul> 

Requirements 
Required Skills<ul><li>
C++ (Mandatory)</li><li>
Python (Mandatory)</li><li>
Image Processing (Mandatory)</li><li>
Computer Vision (Mandatory)</li><li>
Deep Learning (Mandatory)</li><li>
Object Detection</li><li>
Machine Learning</li><li>
Pattern Recognition</li><li>
Artificial Intelligence (AI)</li><li>
Data Science</li><li>
Generative Adversarial Networks (GANs)</li><li>
Flask</li><li>
SQL</li></ul></div>

SDE-1 (Computer Vision Engineer)

Schweitzer Engineering Laboratories

<div>US CITIZENSHIP REQUIRED
Position Responsibilities 
Assisting in designing, prototyping, and documenting technologies for application in SEL products or solutions. 
Assist engineers in research and writing new ideas and functional specifications. 
Analyze competitor products. 
Participate in the development of application notes, white papers, technical reports, and conference and journal papers on innovative applications or ideas. 
Protect SEL intellectual property by writing patent and copyright applications. 
Follow and apply SEL Values, Principles of Operations, and World Class Manufacturing Principles. 
 
Required Qualifications 
Bachelor of Science degree in Electrical Engineering, Computer Science, Computer Engineering, or related, or equivalent experience 
Knowledge in one of the following areas: 
- Power systems: 
- Knowledge of power system analysis, power system protection, and power system stability 
- Experience with EMTP, load flow, and short circuit studies 
- Experience with digital signal processing 
- Computer engineering: 
- Experience with object oriented programming, C, C++, C#, etc. 
- Experience with embedded software design 
- Simulation programming 
- Digital design with microprocessors 
- Digital communications and signal processing 
Demonstrated excellent writing, documentation, and speaking skills 
Willing to travel up to 25% 
Location
Pullman, WA- SEL corporate office is located in Eastern Washington where you'll enjoy an unmatched quality of life. Enjoy the smaller town life: country space, freedom from traffic, easy access to recreational activities in nearby mountains, rivers, and forests, as well as great schools and universities.
Competitive pay. Superior benefits. Inspiring work.
People are at the core of our company and we hire employee-owners. We welcome you to learn more about how we support employees.
<ul><li>We&rsquo;re 100% employee owned. Retirement benefits include an employer funded stock ownership plan (ESOP) and personal 401(k) options.</li><li>
We offer top tier medical, prescription, dental, vision, life, and disability insurance.</li><li>
We recognize the importance of a healthy life balance and offer: 10 paid holidays, annual vacation accrual starting at 12 days, 9 paid sick days, and paid family and medical leave that covers 90% of your pay.</li><li>
We foster growth and development of our employees through avenues such as STEM courses, apprenticeships, tuition assistance, and engineering development programs.
</li><li>Ask our team about other benefits including wellness, fertility, adoption, and flexible spending benefits.</li></ul>
Pay Range Data
We anticipate filling this position as an Associate Research Engineer: $84,000 &mdash; $124,000.
We are open to reviewing additional candidates with more or less experience and the salary range may differ if filled at a different level. Our ranges are determined by job, responsibility, and location. We base our starting pay offer and title on location and job-related factors such as candidate experience, training, knowledge, and skills.
Communication with Applicants
We communicate with all applicants. If you do not receive a response about your application, please check your SPAM filter or reach out to us at careers@selinc.com.
SEL is an Equal Opportunity Employer: Vets/Disabled.</div>

Associate Research Engineer

Petlibro

<div>
 
 Benefits:
 
 
 
 <ul>
 <li>
 401(k)
 </li>
 <li>
 401(k) matching
 </li>
 <li>
 Competitive salary
 </li>
 <li>
 Dental insurance
 </li>
 <li>
 Health insurance
 </li>
 <li>
 Opportunity for advancement
 </li>
 <li>
 Paid time off
 </li>
 <li>
 Relocation bonus
 </li>
 <li>
 Vision insurance
 </li>
 <li>
 Wellness resources
 
 
 
 </li>
 </ul>
 
 Petlibro | San Jose, CA
 
 
 
 
 About Petlibro
 
 
 
 Petlibro is a design-thinking company creating products that nurture the intertwined lives of pets and their people. We launched with a philosophy that good design, in form and in function, can make a difference. Petlibro innovates with the latest technology to solve everyday problems for modern pet parents and revolutionize how we care for our pets.
 
 
 Since 2019, Petlibro has grown into one of the best-selling pet tech brands globally. From smart feeders with app insights to ultra-filtered automatic fountains to pet-health-focused smart apps, our products are engineered to magnify the bond between your pet and you. We are now building AI-powered products and services for modern pet care.
 
 
 
 Job Summary
 
 
 
 We are looking for an AI Engineer to design, train, and deploy AI models that power intelligent pet care and animal monitoring products. You will work across the full model lifecycle, from data curation and fine-tuning to production serving and on-device deployment. The role spans computer vision, vision-language models (VLMs), large language models (LLMs), and agentic AI systems, with a strong focus on animal behavior understanding and multimodal reasoning.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Fine-tune LLMs and VLMs for pet care and animal behavior domains using modern post-training methods (SFT, DPO, GRPO/DAPO)
 </li>
 <li>
 Develop and evaluate computer vision models for animal detection, pose estimation, activity recognition, and health monitoring
 </li>
 <li>
 Build multimodal AI pipelines that combine video, audio, weight sensor data, and other sensor modalities for real-time animal behavior analysis
 </li>
 <li>
 Design and operate model serving infrastructure with high throughput and low latency (vLLM, TensorRT-LLM)
 </li>
 <li>
 Implement RAG systems and agentic workflows for domain-specific knowledge retrieval and automated decision-making
 </li>
 <li>
 Optimize models for on-device / edge deployment using quantization (GPTQ, AWQ, INT4/INT8), distillation, etc.
 </li>
 <li>
 Curate and manage training datasets including synthetic data generation and annotation pipelines for animal imagery and video
 </li>
 <li>
 Develop evaluation frameworks and benchmarks specific to animal AI tasks (behavior classification accuracy, false alert rates, etc.)
 </li>
 <li>
 Collaborate with firmware and embedded engineers to ship models on resource-constrained hardware
 </li>
 <li>
 Monitor model performance in production, set up drift detection, and maintain model versioning and rollback processes
 
 
 
 </li>
 </ul>
 
 Qualifications &amp; Skills
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, AI/ML, Electrical Engineering, or a related field
 </li>
 <li>
 2+ years of hands-on experience training and deploying ML models in production
 </li>
 <li>
 Strong proficiency in Python; familiarity with C++ for performance-critical paths
 </li>
 <li>
 Deep experience with PyTorch and the Hugging Face ecosystem (Transformers, PEFT, TRL, Datasets)
 </li>
 <li>
 Practical experience with the modern post-training pipeline: SFT, preference optimization, and RL-based methods
 </li>
 <li>
 Understanding of modern model architectures: Mixture of Experts, long-context models, multimodal encoders
 </li>
 <li>
 Experience with inference optimization: quantization, speculative decoding, KV-cache management, batching strategies
 </li>
 <li>
 Familiarity with MLOps tooling: experiment tracking (W&amp;B, MLflow), model registries, CI/CD for ML
 </li>
 <li>
 Knowledge of cloud GPU infrastructure (AWS, GCP) and cost-efficient training/serving strategies
 </li>
 <li>
 Strong problem-solving skills and ability to work in a fast-paced, cross-functional environment
 </li>
 <li>
 Background in animal behavior, veterinary science, or bioinformatics is a strong plus
 
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience with video understanding models and temporal reasoning over long sequences
 </li>
 <li>
 Hands-on experience building agentic AI systems or tool-using LLM workflows
 </li>
 <li>
 Experience with structured outputs, function calling, and LLM-as-judge evaluation patterns
 </li>
 <li>
 Familiarity with on-device ML frameworks (Core ML, TensorFlow Lite, ONNX Runtime, ExecuTorch)
 </li>
 <li>
 Experience with synthetic data generation for training data augmentation
 </li>
 <li>
 Understanding of distributed training (FSDP, DeepSpeed) for large-scale model training
 </li>
 <li>
 Knowledge of AI safety, alignment techniques, and responsible AI practices
 </li>
 <li>
 Experience with Docker, Kubernetes, and production deployment pipelines
 
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Work directly on AI that improves animal welfare and pet care. Your models have real-world impact on pets and their owners
 </li>
 <li>
 Full-stack AI role, from research and training to production serving and on-device deployment
 </li>
 <li>
 Access to GPU compute and cloud infrastructure for experimentation and training
 </li>
 <li>
 Collaborative team that values shipping over slides
 </li>
 <li>
 Competitive salary, equity, and benefits
 
 
 
 </li>
 </ul>
 We're building the future of intelligent pet care. If you want to push the boundaries of multimodal AI and apply it to a domain that genuinely matters, we want to talk.
</div>

AI Engineer - AI Department

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we&rsquo;re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems and we&rsquo;re looking for talented people who want to help. 
 
You&rsquo;ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You&rsquo;ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you&rsquo;ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. 
 
Amazon Web Services (AWS) is seeking a Data Center Civil Engineer to become part of the Data Center Template Engineering team. This engineer will be located in either Herndon VA or Seattle WA. 
 
As the Civil Engineer you will be responsible for the Civil Engineering infrastructure strategy and continuous product innovation and development to support our rapidly expanding global data center footprint. AWS Data Centers are a major component of worldwide cloud-computing infrastructure and are industry leading examples of critical facilities. 
 
Civil Engineers at Amazon work to design resilient, cost effective data center systems. We are responsible for achieving a world class uptime for our customers. We justify and communicate the technical decisions we make to Senior Management and work hard to drive continuous advancements and improvements with our designs. 
 
As a Civil Engineer at Amazon you have the ability to drive change and define/design the systems our customers rely on. 
 
Amazon offers a fast paced, fun, and exciting work environment. We continue to grow at exponential rates and are looking for individuals that can support our speed to market, enjoy a challenge, and have a desire for continued professional growth. Amazon&rsquo;s work environment is unique in every aspect and offers an exceptional opportunity for the right candidate. 
 
If you are a creative, smart and driven individual that enjoys working with complex problems we want YOU! Some of the best parts of working at Amazon is that you will be responsible for working on multi-million dollar designs that support our array of businesses and wide variety of customers. Great ideas are encouraged and supported. Ingenuity is the main mechanism which supports our focus on quality, speed, and cost. 
 
Key job responsibilities 
<ul><li>Create, review and release data center Civil Engineering improvements and designs for the next gen data center design.</li><li>Provide relevant feedback into Basis of Design, prototype design, and template specifications for civil engineering systems.</li><li>Serve as a technical advisor for AWS DC design projects.</li><li>Create, review and release architectural/civil/structural design RFPs.</li><li>Manage our external architectural/civil/structural design consultants.</li><li>Coordinate with internal and external MEP/C/S design engineers. Effectively communicate design standards to internal and external project partners.</li><li>Lead initiatives aimed at improving cost, quality, schedule, and consistency.</li><li>Manage multiple fast paced projects simultaneously.</li><li>Travel for site assessments, internal design meetings, construction review, interface with AHJs and design consultants. Anticipated travel not to exceed 25%.</li></ul> 
A day in the life 
Amazon has a global presence; therefore 30% to 40% travel will be necessary. International support will be part of the job, and some international travel will be necessary with short notice. Support could consist of auditing/inspecting data centers, working on international teams and could require developing schematic and design document packages for both global future and existing sites. In this role you will need the ability and willingness to travel for site walks and field observations internationally/domestically with short notice. 
 
About the team 
About AWS 
 
Diverse Experiences 
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
 
 
Why AWS? 
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. 
 
Inclusive Team Culture 
Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness. 
 
Mentorship &amp; Career Growth 
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
 
 
Work/Life Balance 
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.
</div><h2 class="jobSectionHeader">BASIC QUALIFICATIONS</h2><ul><li>Knowledge of Microsoft Office including Outlook, Word, and Excel</li><li>Experience researching new designs, technologies, and construction methods of data center equipment and facilities</li><li>Bachelor's degree in Engineering or a related field</li><li>5+ years of commercial, land development, or data center design, construction, operations, or facility maintenance experience</li><li>2+ years of industrial or commercial engineering in mission critical facilities including but not limited to: data centers, power generation or oil and gas facilities experience</li><li>Experience with CAD software (AutoCAD Civil 3D, REVIT, BIM 360, etc.)</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Professional Engineer License</li><li>Experience with building codes and regulations for your region</li><li>Experience carrying design concepts through exploration, development, and into deployment or mass production</li><li>Experience reading, interpreting, and creating construction drawings, specifications, and submittal documents</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, TX, Austin - 116,800.00 - 160,000.00 USD annually 
USA, VA, Herndon - 116,800.00 - 160,000.00 USD annually 
USA, WA, Seattle - 116,800.00 - 160,000.00 USD annually</div>

Civil Engineer, Data Center Engineering

Intel Corporation

<div><h1 class="jobSectionHeader">Job Details:
</h1><h2 class="jobSectionHeader">Job Description:
</h2>Join Intel's Silicon Engineering Group as a CPU Design Verification Engineer and play a critical role in shaping the next generation of high-performance, power-efficient processors. As part of the E-core CPU team, you will validate cutting-edge CPU architectures designed for industry-leading performance-per-watt that power everything from laptops and desktops to high-end gaming systems, micro-servers, 5G base stations, and AI/ML workloads.
 
 
You'll collaborate with world-class CPU architects, RTL designers, and physical design teams to ensure designs meet rigorous functional, performance, and power goals. This is a high-impact opportunity to work on complex microarchitectural features, solve deep technical challenges, and influence products that reach billions of devices worldwide.
 
 
If you're excited about seeing your ideas, go from whiteboard concepts to real silicon-and want to grow alongside some of the brightest minds in the industry-this is where you belong.
 
 
Key Responsibilities:
<ul><li>Perform functional verification of CPU logic to ensure alignment with architectural and microarchitectural specifications
</li><li>Work across pre-silicon, emulation, and post-silicon environments to validate design functionality and debug issues across the product lifecycle
</li><li>Develop and execute comprehensive verification plans for CPU and IP components
</li><li>Perform functional coverage analysis, identify verification gaps, and implement strategies to close them
</li><li>Build scalable verification environments, including UVM-based testbenches and functional coverage models
</li><li>Define and run system-level simulation models to validate functionality, power, and timing, and uncover bugs
</li><li>Identify, replicate, debug, root-cause, and resolve design issues and bug escapes in pre-silicon environments
</li><li>Implement corrective measures to address failing tests and improve design robustness
</li><li>Collaborate closely with CPU architects, RTL developers, and physical design teams on complex feature verification
</li><li>Maintain and enhance verification infrastructure, methodologies, and automation flows
</li><li>Develop scripts and automation tools for testing using Python, Perl, C/C++, or similar languages to optimize verification workflows and improve throughput Leverage AI techniques and innovative approaches to enhance verification processes and improve test coverage, significantly reducing product life cycle and validation timelines
</li><li>Document test strategies and drive technical reviews with cross-functional stakeholders
</li><li>Contribute to the definition and refinement of CPU architecture and microarchitecture features
</li></ul><h2 class="jobSectionHeader">Qualifications:
</h2>Minimum Qualifications
<ul><li>Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or related STEM field with 3+ years of relevant experience, OR Master's degree with 2+ years of experience, OR PhD with 0+ years of experience
</li><li>Experience in computer architecture fundamentals, with emphasis on CPU microarchitecture
</li><li>Experience with hardware modeling languages such as Verilog, VHDL, or System Verilog, and industry-standard simulation tools (through coursework, projects, or industry experience)
</li><li>Experience in debugging and validation, including test development, coverage analysis, and root cause analysis
</li><li>Experience developing or working with UVM-based or similar verification environments
</li><li>Programming experience in at least one language such as C/C++, Python, or Perl 
</li></ul> 
Preferred Qualifications
<ul><li>Master's or PhD in Electrical Engineering, Computer Engineering, Computer Science, or related STEM field, with demonstrated experience in CPU design, verification, or architecture
</li><li>Knowledge of x86 architecture, Intel Architecture ISA, and assembly programming, with hands-on experience applying it to verification or design tasks
</li><li>Experience with pre-silicon and post-silicon CPU verification, debugging, and analysis, including identifying and closing coverage gaps
</li><li>Familiarity with software validation, including microcode, firmware, or low-level code generation, and applying these skills to enhance CPU verification
</li><li>Experience developing robust and scalable verification environments and testbenches using SystemVerilog UVM/OVM, Specman, C/C++, Python, or similar languages
</li><li>Advanced use of industry-standard simulation tools (e.g., Synopsys VCS) and version control systems (e.g., Git) to optimize verification workflows
</li><li>Intel or industry experience in microarchitecture, CPU design, or verification of CPU cores, with technical ownership or leadership in key areas
</li><li>Experience with advanced CPU microarchitecture concepts, including out-of-order execution
</li><li>Innovative application of AI or automation to enhance verification processes, improve coverage, and significantly accelerate product validation 
</li></ul><h2 class="jobSectionHeader">Job Type:
</h2>Experienced Hire
<h2 class="jobSectionHeader">Shift:
</h2>Shift 1 (United States of America)
<h2 class="jobSectionHeader">Primary Location:
</h2>US, Texas, Austin
<h2 class="jobSectionHeader">Additional Locations:
</h2><h2 class="jobSectionHeader">Business group:
</h2>Silicon and Platform Engineering Group (SPE): Deliver breakthrough silicon and platform solutions that deliver industry-leading products today while also defining the next generation of computing experiences.
<h2 class="jobSectionHeader">Posting Statement:
</h2>All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
<h2 class="jobSectionHeader">Position of Trust
</h2>N/A
<h2 class="jobSectionHeader">Benefits
</h2>We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel . 
Annual Salary Range for jobs which could be performed in the US: $105,650.00-200,340.00 USD 
The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process. 
Work Model for this Role
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.
<ul><li></li></ul>ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.</div>

CPU Verification Engineer

Pond & Company

Ready to turn your ambition into achievement? Join Pond & Company and be part of the team that’s redefining the future of Architectural, Engineering, Planning, Construction Management, and Environmental projects!
 
AI Engineer – Enterprise Applications
 Position Overview
 Pond is seeking an AI Engineer to support the design and deployment of AI-enabled applications that enhance our technical and business operations. This role focuses on implementing modern AI capabilities within enterprise systems and contributing to scalable solutions that improve knowledge access, digital workflows, and operational effectiveness.
 The ideal candidate brings strong software engineering fundamentals and hands-on experience working with AI technologies in production or near-production environments. Experience within architecture, engineering, construction (AEC), or similarly technical industries is a plus.
 
Key Responsibilities
 <ul>
<li>Develop & Implement: Build and maintain AI-enabled enterprise applications under the guidance of senior engineers and technical leadership.</li>
<li>Integrate AI Services: Implement integrations with large language model (LLM) APIs and related AI services within internal tools and workflows.</li>
<li>Support RAG Systems: Contribute to the development and optimization of retrieval-augmented generation (RAG) systems using structured and unstructured enterprise data.</li>
<li>Translate Requirements: Collaborate with cross-functional stakeholders to translate defined business and technical requirements into reliable AI-driven features and enhancements.</li>
<li>Ensure Quality & Compliance: Follow established governance, security, and performance standards to ensure AI implementations are reliable and compliant.</li>
<li>Collaborate Cross-Functionally: Work closely with software engineers, operational leaders, and AEC domain experts to support execution of Pond’s enterprise AI initiatives.</li>
</ul>
Required Qualifications
 <ul>
<li>3+ years of professional software engineering experience.</li>
<li>Proficiency in Python and/or C#, with experience integrating APIs and external services.</li>
<li>Hands-on experience working with LLM APIs or similar AI technologies in application development.</li>
<li>Solid understanding of application architecture, system design principles, and secure development practices.</li>
<li>Strong problem-solving skills and the ability to communicate technical concepts clearly to cross-functional stakeholders.</li>
</ul>
Desired Additional Experience
 <ul>
<li>Experience within architecture, engineering, construction (AEC), or other technically complex industries.</li>
<li>Exposure to RAG systems, vector databases, or multi-source enterprise data environments.</li>
<li>Familiarity with enterprise data governance, security best practices, and compliance considerations related to AI solutions.</li>
</ul>
All Pond & Company positions require participation in at least one in-person interview as part of our hiring process, and most roles also require in-person onboarding at a Pond office location; candidates should expect to meet directly with our team and should be cautious of any communication suggesting otherwise.
 About Pond
 Pond is an award-winning, full-service architecture, engineering, planning, construction management, and environmental services firm providing professional solutions to clients throughout the U.S. and globally for nearly 60 years. Pond’s staff of 800+ professionals provide a deep bench strength of experience and capabilities to offer customized solutions that help clients manage projects from concept to completion – and everything in between – with confidence and clarity. Pond is currently ranked as the 80th largest engineering and design firm by ENR, Atlanta’s #1 engineering firm by Atlanta Business Chronicle, and has been recognized as an Employer of the Year by Georgia ACEC and a Best Place to Work for Working Parents.
 
Additional Information
 Many factors are considered when determining compensation at Pond, including scope and level of position, geographic location, candidate skill, knowledge and experience. Starting base pay may vary depending on these factors. Please see the hiring range associated with this posting for more information.
 Additional cash incentives may be provided as part of the compensation package, in addition to a range of medical, financial and/or other benefits dependent on position offered. Learn more about Pond’s comprehensive benefits offerings here.
 All offers of employment made by Pond & Company are contingent upon satisfactory background check results. Pre-employment background checks will be conducted on all candidates that are offered a position at Pond in compliance with program policy as well as state and federal regulations. Additionally, offers may be contingent upon the successful completion of a pre-employment drug and alcohol test.
 
Equal Opportunity Employer
 We are an equal opportunity and affirmative action employer that recognizes the value of diversity and inclusion in the workplace. Employment decisions at Pond are based on business needs, job requirements and individual qualifications. All suitably qualified applicants will receive consideration for employment. We prohibit discrimination and harassment of any kind based on race, color, sex, age, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state and local laws in jurisdictions where we operate. If you need assistance or an accommodation due to a disability, you may contact us at hrdepartment@pondco.com.
 
Apply for this position at careers.pondco.com.We are always looking for driven professionals of all disciplines to join our fast-growing company. For more information on our services, clientele, or employment opportunities, visit our website at www.pondco.com.
 
Should you run into any issues in completing the application, please reach out to recruiters@pondco.com for assistance.

AI Engineer - Information Technology

Search 10000+ Computer engineer jobs near you this May. New roles added regularly across leading industries. Apply today.