senior research engineer

DeepSource Technologies

<div>We are looking for a highly capable Senior AI Engineer / MLOps Engineer to join our team and lead the design, development, deployment, and optimization of scalable, production-grade AI and machine learning solutions. The ideal candidate will have strong hands-on experience across AI engineering, machine learning, MLOps, cloud-native architecture, and data engineering, with the ability to transform experimentation into reliable, business-ready systems.
This role requires deep expertise in LLMs, RAG, agentic AI workflows, CI/CD automation, production ML lifecycle management, and modern data platforms. The selected candidate will be expected to lead end-to-end AI initiatives, work across multiple projects, collaborate with technical and business stakeholders, and ensure operational excellence across AI platforms.
Key Responsibilities<ul><li>Design, develop, deploy, and maintain production-grade AI and machine learning systems end to end.</li><li>Build and optimize LLM-powered applications, including RAG pipelines, prompt workflows, agent-based systems, and multimodal AI use cases.</li><li>Develop intelligent workflows using tool-calling, orchestration frameworks, and contextual reasoning patterns.</li><li>Fine-tune, evaluate, and operationalize machine learning and foundation models for enterprise use cases.</li><li>Build and manage MLOps pipelines covering training, evaluation, model registration, deployment, monitoring, and retraining.</li><li>Implement CI/CD pipelines for ML and AI workflows to support automated testing, release management, and controlled deployments.</li><li>Establish model monitoring frameworks for drift detection, feature attribution, inference quality, and performance tracking.</li><li>Ensure reproducibility, reliability, and version control across AI/ML environments.</li><li>Architect scalable AI/ML platforms using modern compute, storage, orchestration, monitoring, and search services.</li><li>Build repeatable environments using Infrastructure as Code.</li><li>Support secure, high-availability, and cost-efficient deployment models across development, staging, and production environments.</li><li>Design scalable inference and serving patterns for variable workloads.</li><li>Build and maintain automated data pipelines, ETL/ELT workflows, and data processing frameworks for AI/ML consumption.</li><li>Ensure data quality, lineage, governance, and versioning to support dependable model training and inference.</li><li>Work with structured and unstructured datasets across data lakes, data warehouses, and operational systems.</li><li>Deliver analytics-ready datasets to downstream systems and applications.</li><li>Lead multiple AI initiatives in parallel, including planning, execution, and coordination with internal teams and stakeholders.</li><li>Work closely with product, engineering, data, and business teams to deliver production-ready AI capabilities.</li><li>Contribute to architecture decisions, technical documentation, best practices, and engineering standards.</li><li>Support knowledge sharing, technical leadership, and continuous improvement across the AI function. 
</li></ul> 
 
Requirements<ul><li> 
Bachelor&rsquo;s degree in Computer Engineering, Computer Science, Artificial Intelligence, Data Science, or a related field.</li><li>5+ years of hands-on experience in AI engineering, machine learning engineering, MLOps, or data/ML platform engineering.</li><li>Proven experience deploying production AI/ML solutions in enterprise environments.</li><li>Strong programming experience in Python and SQL.</li><li>Strong experience with enterprise AI/ML architecture and delivery.</li></ul></div>

AI Architect - Riyadh,KSA

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; Systems Engineering
General Summary:
<div></div><div>About us
</div><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><div></div><div>About the role
</div><div>The Qualcomm AI team is developing hardware and software for Machine Learning solutions spanning the data center, edge, infrastructure, automotive markets and beyond.
We are seeking a Senior Staff Machine Learning Engineer to provide hands‑on technical leadership in the design, optimization, and deployment of machine learning frameworks and applications on Qualcomm AI platforms. This is an individual contributor role that operates with broad technical scope, high autonomy, and significant cross‑team impact. The successful candidate will drive complex initiatives end‑to‑end, influence technical direction through expertise and execution, and mentor engineers across the organization while remaining deeply hands‑on. 
 
Job activities span the full product life cycle, from early research and architecture through commercial deployment and sustained optimization. The role requires frequent cross‑functional collaboration, strong technical judgment, and the ability to independently plan, execute, and influence complex engineering efforts.
We are looking for candidates with12+ years Systems Engineering or related work experience 
 
 
Responsibilities will include:
<ul><li>Research, design, develop, enhance, and implement the different components of machine learning frameworks, Graph optimizations for performance and accuracy tailored towards Qualcomm NPUs.
</li><li>Analyze software requirements, determine the feasibility of design within the given constraints, consult with architecture and HW engineers, and implement software solutions best suited for Qualcomm's SOCs.
</li><li>Analyze and identify system level integration issues, interface with the software development, integration and test teams.
</li><li>Work on latest GenAI techniques and adapt those for NPUs. Architect new techniques which work best on Qualcomm SOCs and architecture.
</li>Provide technical leadership and mentorship through design reviews, architectural guidance, and hands‑on collaboration, influencing best practices without direct people‑management responsibility 
<li>
</li></ul> 
 
Minimum Qualifications
<ul><li>bachelor&rsquo;s degree in engineering, Information Systems, Computer Science, or related field.
</li>12+ years Systems Engineering or related work experience. 
<li>
</li></ul> 
 
Required Qualifications
<ul><li>Has internal working knowledge of Machine learning frameworks like Pytorch, Tensorflow.
</li><li>Has experience in model level optimization using techniques like torch compile.
</li><li>Expertise in model architecture, backed by literature rationale and intuition
</li><li>Understanding of broad-spectrum model architectures across modalities, ML algorithms and techniques
</li><li>Expertise in Model training and inference workflows.
</li><li>Hands-on Experience in C/C++, Python development (5+ years)
</li><li>Hands-on Experience with Object Orientated Design, and software development practices in general
</li><li>Experience with Source Code and Configuration management tools, git knowledge is required
</li></ul>Preferred Qualifications and Aptitudes
<ul><li>Willingness to work in a cohesive software development environment with ability to work on low level implementation (code &amp; test) and interfacing with hardware and simulators
</li><li>Experience in neural network architectures + ML compiler workload synthesis, a plus
</li><li>Prior working experience of hardware accelerators and hardware software co-design
</li><li>Experience of profiling software and optimization techniques
</li><li>Passion to drive to develop leading-edge &quot;deep learning&quot; framework and algorithms working on mobile and embedded platforms.
</li><li>A research mindset with expertise in software development
</li></ul></div><div>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></div>Minimum Qualifications:
<ul><li>Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Systems Engineering or related work experience.
</li></ul>OR
 
Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Systems Engineering or related work experience.
 
OR
 
PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.
*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>

Model Accuracy and AI Performance, Senior Staff Engineer - Riyadh, KSA

Hydrafacial

<div>About Us
Hydrafacial is a global category-creating company focused on bringing innovative products to market and delivering beauty health experiences by reinventing our consumer&rsquo;s relationship with their skin, their bodies and their self-confidence.
Every person here is a key player in our success. We are firm believers in making the little things count each day so the big things will follow. If this sounds like you, come check us out! This is the perfect opportunity to work with some of the best leaders in the industry while you gain the global and strategic experience to add to your professional toolbox. 
Job Description:<div><div>
The Role:</div><div>
The R&amp;D Engineer will support the research and development engineering of Hydrafacial's innovative medical aesthetic devices. This role is ideal for an early-career engineer who is passionate about product development in a regulated environment and eager to contribute to a category-defining brand. You will collaborate cross-functionally with R&amp;D, Quality, Regulatory, and Operations teams to bring next-generation skin health technologies to market.</div><div>
What you&rsquo;ll do:</div><div>
Primary Responsibilities:</div><div><ul><li>
Support the design and development of electro-mechanical assemblies for new and sustaining aesthetic device platforms.</li><li>
Assist in the creation and maintenance of design control documentation in accordance with FDA 21 CFR 820.30, including Design History Files (DHFs), Design Input/Output documents, Verification &amp; Validation protocols, and reports.</li><li>
Contribute to the generation and review of engineering requirements, test protocols, technical reports, and risk management documentation (FMEA, hazard analysis).</li><li>
Assist in the preparation and execution of design verification and validation (V&amp;V) testing.</li><li>
Create and revise engineering drawings and CAD models; support tolerance stack-up and design-for-manufacturability reviews.</li><li>
Utilize 3D printing and rapid prototyping tools to support concept development and design iterations.</li><li>
Collaborate with cross-functional teams to support Change Orders (COs), Engineering Change Requests (ECRs), and deviations.</li><li>
Support sustaining engineering activities including failure investigations, root cause analysis, and corrective actions (CAPAs).</li><li>
Maintain organized and compliant documentation in accordance with ISO 13485 Quality Management System requirements.</li><li>
Other duties as assigned.</li></ul></div><div>
What you need to know:</div><div>
Experience/Skills/Education:</div><div>
Required:</div></div><div><div><ul><li>
B.S. degree in Mechanical Engineering, Biomedical Engineering, Electrical Engineering, or a related technical field</li><li>
0&ndash;3 years of experience in a product development or engineering role (internship, co-op, or full-time experience accepted)</li><li>
Familiarity with electro-mechanical assembly design and integration</li><li>
Basic understanding of FDA design controls (21 CFR 820.30) and/or ISO 13485 quality management systems</li><li>
Proficiency or coursework experience with CAD software (SolidWorks preferred)</li><li>
Strong attention to detail and ability to maintain accurate, compliant documentation</li><li>
Effective written and verbal communication skills with the ability to work in a collaborative, cross-functional environment</li></ul></div><div>
Desired:</div><div><ul><li>
Experience with or exposure to FDA-regulated medical device development</li><li>
Knowledge of aesthetic or consumer wellness devices</li><li>
Hands-on experience with 3D printing / rapid prototyping technologies</li><li>
Familiarity with ISO 13485 QMS implementation</li><li>
Understanding of GD&amp;T and engineering drawing standards</li><li>
Experience with design verification/validation (V&amp;V) testing</li></ul>
We mean it when we say you&rsquo;ll LOVE this role.
Base Pay: $30.00-$35.00/hour
An employee&rsquo;s pay position within the salary range will be based on several factors, including, but not limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, travel requirements, revenue-based metrics, any contractual agreements, and business or organizational needs. The range listed is just one component of Hydrafacial's total rewards package for our employees. Other rewards may include annual bonuses, long-term incentives based on level, paid time off, and region-specific benefits. Come grow and GLOW with us!
What else can you expect with Hydrafacial? 
PERKS! Benefits include: Medical insurance, dental insurance, vision insurance, FSAs, HSAs, accident insurance, pet insurance, company-paid life and AD&amp;D insurance, company-paid long-term and short-term disability insurance, 401(k) with employer match, paid time off (PTO), and paid holidays.
#LI-Onsite</div></div>
Hydrafacial is proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, sex, religion, sexual orientation, national origin, gender identity, gender expression, age, disability, genetic information, pregnancy or any other protected characteristic as outlined by color, federal, state or local laws. We are committed to working with and providing accommodation to applicants with physical and mental disabilities. 
Hydrafacial does not accept unsolicited assistance or resumes/CVs from third party search firms. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral or CV/resume submitted by a search firm to any employee at our company without a valid written search agreement. If we need additional support, we will be sure to reach out directly to one of our preferred providers. Please no phone calls or emails.</div>

Associate R&D Engineer - Long Beach, CA

Commencis

<div>We are looking for a Senior Design Researcher who is deeply passionate about understanding human behavior. In this role, you will leverage qualitative and quantitative research methods to uncover meaningful insights about user needs, motivations, and experiences, driving informed design decisions.

If you are curious by nature, adaptive, collaborative and always one step ahead, then join us and be a Commencer!
<h3 class="jobSectionHeader">
Responsibilities</h3><div>
<ul><li>Seek design critiques actively to improve the quality of the work produced, and grow with the feedback.</li>
<li>Choose the right communication methods, cadence, and deliverables to convey progress and concerns to internal and external stakeholders.</li>
<li>Participate in brainstorming sessions and design reviews with the design team.</li>
<li>Partner with design, product, and marketing teams to understand business needs, evaluate current and future user needs design appropriate research studies to generate user-focused insights.</li>
<li>Contribute to the research plan by formulating hypotheses, research questions, and quality tasks for participants.</li>
<li>Handle the research logistics, recruiting and preparing participants for research, interviews, securing conference rooms, technical support, and more.</li>
<li>Prepare all the required research and recording material prior to studies.</li>
<li>Conduct research using a wide variety of qualitative methods and a subset of quantitative methods. Collect and record all the meaningful data during the study.</li>
<li>Organize findings and analyze data writing detailed conclusions with root causes.</li>
<li>Present findings and insights to a larger audience in a clear and compelling way - written and verbal.</li>
<li>Contribute to company-wide knowledge ensuring future access to the completed research studies.</li>
<li>Track emerging trends in the digital interface landscape, recommending new opportunities to ensure continuous improvement</li>
</ul></div><h3 class="jobSectionHeader">Qualifications</h3><div>
<ul><li>An online portfolio demonstrating a passion for digital product development, and experience in diverse content and subject matter.</li>
<li>BA Degree in Design, HCI, Psychology, or a related field.</li>
<li>5+ years of experience in research and experience design with digital products or services.</li>
<li>A love of collaboration, self-growth, and learning.</li>
<li>Proficiency in research, analytics, design tools and software.</li>
<li>A passion to learn and keep up with design and technology trends.</li>
<li>Strong verbal and visual presentation skills.</li>
<li>Fluent in written and spoken English.</li>
</ul>
</div><div>Why Commencis?

We want people to thrive at Commencis. Here&rsquo;s what Commencers like about working here:

Competitive Compensation &amp; Benefits: We offer a competitive salary, private health insurance, pension and retirement plans through a company-backed pension system, meal card, commute compensation, work-from home support and paid birthday off.

Happier Weekdays: We offer flexible working hours including remote working option. Online events, guest speakers, refreshments in the office, meeting-light culture, and many more to enjoy the weekdays.

Never Stop Learning: We support learning and development programs for almost anything. Additionally, we provide access to leading online e-learning platforms like Udemy and various libraries.

Community &amp; Socials: We are a tight-knit community that loves gathering. Our social activities include happy hours, workshops, new year party, breakfast &amp; lunch get-togethers, movie nights, and our Summer Festival.

Open Culture: We maintain a flat organizational structure with a culture of direct and open communication. We value Commencers&rsquo; voices and address any suggestions and questions you may have. 


About Commencis

Join us in paving the way for a thriving digital society!

Commencis has more than two decades of expertise in the world of experience design, software engineering and cloud technologies. Our products and solutions are used by leading brands in financial services, insurance, airlines and retail in more than 20 countries.

We help our clients around the globe to commence their next evolution and pave the way for a thriving digital society. We love discovering what&rsquo;s next. We value collaboration, curiosity, and an open mindset at work.

If you share the same passion with our fellow Commencers, then let us unleash your world-class potential!

We will process your personal data as part of our recruitment procedures. To find out more, please consult our Candidate Privacy Notices.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. 

</div>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</div>

Senior Design Researcher

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
AWS's Trainium and Inferentia chips power the world's largest machine learning clusters. Our team builds C++ models of these custom SoCs that RTL designers, verification engineers, and software teams depend on throughout the silicon development lifecycle. We're looking for a modeling engineer to build and own models that directly impact how our chips are designed, verified, and brought to production. 
 
What you'll do: 
 
<ul><li>Build and own models of SoC subsystems &mdash; translating architecture specs and RTL behavior into accurate, testable C++ models</li><li>Work directly with RTL design and verification teams to validate model behavior against RTL, debug discrepancies, and support pre-silicon verification flows</li><li>Develop model-based test infrastructure: regression suites, RTL correlation checks, and coverage-driven testing</li><li>Contribute to performance modeling efforts &mdash; building cycle-approximate models that help architects evaluate design trade-offs before RTL exists</li><li>Improve modeling methodology and infrastructure: how models are structured, integrated, tested, and released to DV and architecture teams</li><li>Collaborate with chip architects to understand upcoming designs and plan modeling work ahead of RTL availability</li></ul> 
Why this role is interesting: 
 
<ul><li>Your models are used to verify silicon before it's built &mdash; bugs you catch save months of schedule and millions of dollars</li><li>You'll work at the intersection of software engineering and chip design, with deep visibility into how custom ML accelerators are architected</li><li>As the team scales, there's a clear path into architectural modeling &mdash; using your models to influence chip design decisions, not just validate them</li><li>Small team, high ownership, direct impact on AWS's most strategic silicon programs</li></ul> 
You will thrive in this role if you: 
 
<ul><li>Have built functional or performance models of SoCs, ASICs, GPUs, CPUs, or IP blocks</li><li>Are comfortable working with architectural / design specifications or reference implementations and translating them into C++ or SystemC models</li><li>Understand verification concepts and have worked with DV teams or in pre-silicon validation environments</li><li>Care about model fidelity and have experience correlating models against RTL or silicon</li><li>Are interested in expanding into architectural performance modeling as the team grows</li><li>Enjoy working on a small, high-impact team where you own significant pieces of the stack</li></ul> 
No ML background needed. You'll learn the ML accelerator domain on the job. 
 
This role can be based in Cupertino, CA or Austin, TX.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>Experience programming languages such as C/C++, Python, Java or Perl</li><li>2+ years writing functional or performance models of hardware (SoCs, ASICs, GPUs, CPUs, IP blocks)</li><li>Familiarity with SoC, CPU, GPU, and/or ASIC architecture and micro-architecture</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>2+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Experience working with DV teams or integrating models into verification flows</li><li>Experience with SystemC or TLM-based modeling</li><li>Experience correlating functional models against RTL simulation or emulation</li><li>Experience developing or calibrating performance models</li><li>Familiarity with Modern C++ (20 and beyond)</li><li>Experience with PyTest, GoogleTest, or similar test frameworks</li><li>Experience with multi-threaded simulation</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. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
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, CA, Cupertino - 165,200.00 - 223,600.00 USD annually 
USA, TX, Austin - 143,700.00 - 194,400.00 USD annually</div>

Pre-Silicon SoC Modeling Engineer, Annapurna Labs Machine Learning Accelerators, AWS

ANONYMOUSLY

We are hiring a Senior MEP Engineer with strong experience in infrastructure / substation (132 kV) projects.Key Responsibilities:<ul><li>Lead and supervise MEP &amp; Fire Protection works (HVAC, LV systems, plumbing, etc.)</li><li>Review designs, drawings, and material submittals</li><li>Coordinate with vendors for design, installation, and testing &amp; commissioning</li><li>Liaise with client, consultant, and authorities for approvals and inspections</li><li>Manage site execution, subcontractors, and project progress</li><li>Handle documentation, RFIs, and project close-out activities</li></ul>Requirements:<ul><li>10+ years of MEP experience, with at least 3-5 years in a senior role</li><li>Experience in large-scale substation projects - 132kV</li><li>Strong background in design review, site supervision, and commissioning</li><li>Abu Dhabi Municipality's Engineer License and TAQA Approval (mandatory)</li></ul>Job Types: Full-time, PermanentPay: AED15,000.00 - AED17,000.00 per monthApplication Question(s):<ul><li>What is your notice period?</li><li>What is your current salary?</li><li>What is your expected salary?</li><li>How many years of experience do you have as a Senior MEP engineer on a substation project?</li></ul>Work Location: In person

Senior Mechanical (MEP) Engineer - Substations

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
AWS's Trainium and Inferentia chips power the world's largest machine learning clusters. Our team builds C++ models of these custom SoCs that RTL designers, verification engineers, and software teams depend on throughout the silicon development lifecycle. We're looking for a modeling engineer to build and own models that directly impact how our chips are designed, verified, and brought to production. 
 
What you'll do: 
 
<ul><li>Build and own models of SoC subsystems &mdash; translating architecture specs and RTL behavior into accurate, testable C++ models</li><li>Work directly with RTL design and verification teams to validate model behavior against RTL, debug discrepancies, and support pre-silicon verification flows</li><li>Develop model-based test infrastructure: regression suites, RTL correlation checks, and coverage-driven testing</li><li>Contribute to performance modeling efforts &mdash; building cycle-approximate models that help architects evaluate design trade-offs before RTL exists</li><li>Improve modeling methodology and infrastructure: how models are structured, integrated, tested, and released to DV and architecture teams</li><li>Collaborate with chip architects to understand upcoming designs and plan modeling work ahead of RTL availability</li></ul> 
Why this role is interesting: 
 
<ul><li>Your models are used to verify silicon before it's built &mdash; bugs you catch save months of schedule and millions of dollars</li><li>You'll work at the intersection of software engineering and chip design, with deep visibility into how custom ML accelerators are architected</li><li>As the team scales, there's a clear path into architectural modeling &mdash; using your models to influence chip design decisions, not just validate them</li><li>Small team, high ownership, direct impact on AWS's most strategic silicon programs</li></ul> 
You will thrive in this role if you: 
 
<ul><li>Have built functional or performance models of SoCs, ASICs, GPUs, CPUs, or IP blocks</li><li>Are comfortable working with architectural / design specifications or reference implementations and translating them into C++ or SystemC models</li><li>Understand verification concepts and have worked with DV teams or in pre-silicon validation environments</li><li>Care about model fidelity and have experience correlating models against RTL or silicon</li><li>Are interested in expanding into architectural performance modeling as the team grows</li><li>Enjoy working on a small, high-impact team where you own significant pieces of the stack</li></ul> 
No ML background needed. You'll learn the ML accelerator domain on the job. 
 
This role can be based in Cupertino, CA or Austin, TX.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>6+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Experience as a mentor, tech lead or leading an engineering team</li><li>6+ years writing functional or performance models of hardware (SoCs, ASICs, GPUs, CPUs, IP blocks)</li><li>Experience programming in C++, using advanced language features</li><li>Knowledge of SoC, CPU, GPU, and/or ASIC architecture and micro-architecture</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience working with DV teams or integrating models into verification flows</li><li>Experience correlating functional models against RTL simulation, emulation, or silicon</li><li>Experience developing and calibrating performance models for custom silicon</li><li>Experience with SystemC, TLM, or cycle-approximate modeling methodologies</li><li>Experience building regression and CI frameworks for model validation</li><li>Familiarity with Modern C++ (20 and beyond)</li><li>Experience with multi-threaded or distributed simulation</li><li>ML accelerator architecture knowledge (a plus, not required)</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. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
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, CA, Cupertino - 193,300.00 - 261,500.00 USD annually 
USA, TX, Austin - 168,100.00 - 227,400.00 USD annually</div>

Senior Pre-Silicon SoC Modeling Engineer, Annapurna Labs Machine Learning Accelerators, AWS

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