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senior software engineer full stack

Microsoft

<div><b>Overview</b><p><br>
Microsoft Clarity is a large scale user behavior analytics platform used by millions of websites to understand how users interact with their site. We are looking for a Full Stack Senior Engineer to help build and evolve Clarity&rsquo;s high performance analytics platform, owning data accuracy, coverage, and efficiency while designing systems that operate safely at internet scale.</p><p>
In this role, you will develop performance sensitive web and data platforms, build AI forward product experiences, and apply solid engineering fundamentals to deliver reliable, secure, and insight driven capabilities with minimal impact on customer sites. You will work closely with Product Managers, Designers, and Engineers to ship end to end features, influence architecture decisions, and raise the quality bar across the team.</p><p>
Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</p><p>
Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.</p><b><br>
Responsibilities</b><br>
<ul><li>
Build and operate scalable, reliable, distributed services on Azure using modern frameworks and event-driven architectures.</li><li>
Apply solid JavaScript expertise to design and maintain efficient, reliable data instrumentation mechanisms that ensure accurate, performant, and privacy-conscious analytics with minimal impact on customer websites.</li><li>
Contribute to analytics data quality by improving the accuracy, coverage, and efficiency of data collection for features you work on, ensuring trustworthy insights while respecting performance and privacy constraints.</li><li>
Implement AI‑forward product features and use AI‑assisted engineering tools within the SDLC, applying solid engineering fundamentals to deliver reliable and secure outcomes with appropriate accountability.</li><li>
Participate in engineering excellence practices including design discussions, code reviews, testing, and operational readiness, helping improve system resilience with minimal customer impact.</li><li>
Collaborate closely with product team to ship end‑to‑end features, contribute to architectural discussions, and uphold a high quality bar.</li><li>
Embody our Culture and Values.</li></ul><br>
<b>
Qualifications</b><p><b><br>
Required Qualifications:</b></p><ul><li>
Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python<ul><li>
OR equivalent experience.</li></ul></li></ul><p><b>
Other Requirements:</b><br>
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:</p><ul><li><b>
Microsoft Cloud Background Check:</b> This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.</li></ul><p><b><br>
Preferred Qualifications:</b></p><ul><li>
Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python<ul><li>
OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python</li><li>
OR equivalent experience.</li></ul></li><li>
2+ years experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP</li><li>
Solid expertise in JavaScript / TypeScript, HTML, CSS and browser internals</li><li>
Solid understanding of web performance, accessibility, and cross‑browser compatibility</li><li>
Experience with Development &amp; Debugging with dev environments like Visual Studio or Visual Studio Code</li><li>
Familiarity with LLMs and AI ChatBots</li><li>
Prompt Engineering, Azure DevOps, GIT</li><li>
Solid problem‑solving skills and ability to work independently</li><li>
Experience in leading technical projects and supporting architectural decisions with data.</li></ul><p><br>
#MicrosoftAI</p><br>
<br>
<br>
<p>Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.
</p><p></p><p>Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:<br>
https://careers.microsoft.com/us/en/us-corporate-pay</p><p><br>
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.</p><p></p><p><br>
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process<b>.</b></p></div>

Senior Software Engineer - Full Stack

NVIDIA

<div><div>We are now looking for a Senior Deep Learning Engineer! At NVIDIA, we are at the forefront of advancing the capabilities of artificial intelligence. We are seeking an ambitious and forward-thinking senior deep learning engineer to contribute to the development of next-generation inference optimizations targeting frontier workloads including multi-agent AI systems, generative multimodal models, and inference-time compute scaling. In this role, you will characterize these emerging workloads and develop novel methods to optimize for them across inferencing engines, systems, and hardware architectures. Your work will span multiple tiers of the inference stack from the algorithmic to system level.</div><div></div><div>
As NVIDIA makes significant strides in AI datacenters, our team holds a central role in maximizing the efficiency of our exponentially growing inference deployment needs and establishing a data-driven approach to algorithmic improvements, hardware design and system software development. We collaborate extensively with diverse teams at NVIDIA, spanning deep learning research and framework development teams, to silicon architecture. Thriving in such a high-impact, interdisciplinary environment necessitates not only technical proficiency but also a growth mindset and a pragmatic attitude &mdash; qualities that fuel our collective success in shaping the future of datacenter technology.</div><div></div><div>
What You'll Be Doing:</div><ul><li><div>
Continuously keeping up to date on the latest advancements in generative AI research.</div></li><li><div>
Analyzing and prototyping emerging workloads in multi-agent AI systems, generative multimodal models, and inference-time compute scaling.</div></li><li><div>
Pioneering and developing optimizations for these workloads across the inference stack to push the boundaries of inferencing quality and speed on NVIDIA systems.</div></li><li><div>
Collaborating closely with production teams to incorporate the latest advancements into cutting-edge software frameworks.</div></li></ul><div><br>
What We Need to See:</div><ul><li><div>
Master's degree (or equivalent experience) in Computer Science, Artificial Intelligence, Applied Mathematics, or related fields.</div></li><li><div>
A strong foundation in deep learning, with a particular emphasis on generative models and inferencing.</div></li><li><div>
A track record of at least 5 years of relevant software development experience in modern deep learning frameworks such as PyTorch.</div></li><li><div>
Growth mindset and pragmatic attitude.</div></li></ul><div></div><div>
Ways to Stand Out From the Crowd:</div><ul><li><div>
Published research or noteworthy contributions to the field of deep learning, particularly in areas such as inference-time compute, multimodal generation, AI systems, etc.</div></li><li><div>
Experience with prototyping or deployment of agentic AI systems and/or multimodal generation models.</div></li><li><div>
Experience with collaborating across algorithms, software and performance teams to deliver high quality solutions.</div></li><li><div>
Familiarity with computer architecture and how it relates to AI algorithms development.</div></li></ul><div><br>
NVIDIA is widely considered to be one of the technology world&rsquo;s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative and autonomous, we want to hear from you!</div><div></div>
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.<div></div><div><div><div><div><div><div><div><div>
You will also be eligible for equity and <div>benefits</div>.</div></div></div></div></div></div></div></div><div></div>
Applications for this job will be accepted at least until March 6, 2026.<div></div><div>
This posting is for an existing vacancy.</div><div>
NVIDIA uses AI tools in its recruiting processes.</div><div></div>
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.</div><div></div>

Senior Deep Learning Engineer

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Amazon LEO is an initiative to increase global broadband access through a constellation of 3,236 satellites in low Earth orbit (LEO). Its mission is to bring fast, affordable broadband to unserved and underserved communities around the world. Amazon LEO will help close the digital divide by delivering fast, affordable broadband to a wide range of customers, including consumers, businesses, government agencies, and other organizations operating in places without reliable connectivity.<br>
<br>
We are seeking an exceptional Senior Software Engineer to lead our team in building the operational backbone of a revolutionary laser communication network connecting satellites in space and ground stations on Earth. This is a high-impact leadership role where you'll drive multiple concurrent projects that directly enable network operations at unprecedented scale.<br>
<br>
The Opportunity<br>
You'll architect and deliver mission-critical tools and services that power network operations for our dynamic space-based laser link infrastructure. Working in an environment where ambiguity meets innovation, you'll transform complex, evolving requirements into elegant, scalable solutions while mentoring and leading a team of engineers to execute your vision.<br>
<br>
What You'll Build<br>
Design and develop sophisticated multi-layered services that collect real-time telemetry from our satellite constellation, analyze network topology, and intelligently correlate data to identify and resolve faults. Your systems will automatically trigger remediation runbooks, escalate issues to appropriate teams, and leverage machine learning and generative AI to detect anomalies, perform root cause analysis, and predict customer impact before it occurs.<br>
<br>
What We're Looking For<br>
You bring proven experience architecting and delivering complex, distributed systems in production environments. As a full-stack engineer, you possess both the technical depth to build clean, maintainable back-end services and the product sensibility to create intuitive, actionable visualizations that operators can trust and understand at a glance. Your meticulous attention to detail manifests in every layer of the stack&mdash;from elegant API design and robust data pipelines to thoughtful UI/UX that transforms complex telemetry into clear operational insights.<br>
<br>
You excel at breaking down ambitious technical roadmaps into actionable milestones and have a track record of successfully onboarding and elevating junior engineers. Deep expertise in distributed cloud services and infrastructure-as-code principles is essential, as is the ability to thrive in high-ownership, high-accountability environments where your decisions directly impact mission success.<br>
<br>
Why This Role Matters<br>
Your work will be the operational nervous system of our space network&mdash;enabling seamless connectivity, ensuring reliability, and pushing the boundaries of what's possible in space-based communications.<br>
If you're passionate about solving hard problems at the intersection of space technology, distributed systems, and operational excellence, we want to hear from you.<br>
<br>
Export Control Requirement:
<br>
Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.<br>
<br>
Key job responsibilities<br>
<ul><li>Lead end-to-end automation initiatives as a team leader, developing sophisticated tools and services that address complex network operations, debugging, and troubleshooting challenges while guiding team efforts and priorities.</li></ul><br>
<ul><li>Collaborate with cross-functional teams to analyze network architecture, stakeholder requirements, and customer needs; architect and implement software solutions that deliver measurable business value.</li></ul><br>
<ul><li>Design and implement AI/ML solutions utilizing AWS services to enhance space network operations and problem resolution.</li></ul><br>
<ul><li>Drive data-driven decision making by developing and maintaining comprehensive network KPI (Key Performance Indicators) systems, including databases, dashboards, and visualization platforms for performance monitoring and reporting.</li></ul><br>
<ul><li>Provide technical leadership and mentorship as a team leader to software/network engineers through effective task delegation, project management, and onboarding programs to optimize team productivity and development cycles.</li></ul><br>
A day in the life<br>
As Senior Software Engineer, you begin your day by reviewing satellite network data, identifying anomalies, and formulating mitigation plans. You then analyze the performance metrics of the team's software tools/services, using these insights to guide your decision-making. Drawing on your deep expertise in distributed systems, cloud infrastructure, and DevOps, you lead cross-functional discussions to collaboratively design scalable architectures that automate data collection, analysis, and issue resolution. Throughout the day, you mentor junior engineers, align stakeholders, update project plans, showcasing your technical prowess, problem-solving skills, exceptional leadership to ensure the reliable operation of complex space satellite network.<br>
<br>
About the team<br>
The Optical Inter-Satellite Link (OISL) organization is responsible for the design, development, and manufacturing of critical hardware and software that makes laser links between satellites possible. We are rapidly expanding and developing a new Network Automation team. We are looking for a senior software engineer to join and lead our new team to develop novel software services that can automate fault finding based on satellite data, automate workflows and operational procedures, and use ML/AI to find and correlate anomalies in the space network, identify root causes, and predict customer impacts.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>8+ years of non-internship professional software development experience</li><li>6+ years of programming with at least one software programming language experience</li><li>6+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience as a mentor, tech lead or leading an engineering team</li><li>6+ years of designing and developing large-scale, multi-tiered, multi-threaded, distributed software applications, tools, systems, and services using: Java, JavaScript, TS, Python, React, Angular, etc.</li><li>Experience with AWS services such as EC2, S3, SQS, SNS, Lambda, Kafka, DynamoDB and event-driven systems etc.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>8+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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.<p><br>
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.</p><br>
USA, WA, REDMOND - 168,100.00 - 227,400.00 USD annually</div><p></p>

Senior Software Development Engineer, Amazon Leo OISL

<div><b>Overview</b><p><br>
Microsoft Dynamics 365 is a suite of easy-to-learn and easy-to-use business solutions tailored to any market, designed for any business size, and dedicated to growing business through happy customers. The Customer Service Applications Team delivers business applications for Connected Customer Care for Contact Centers! We are building the next generation of our applications running on Azure that pull together Dynamics 365, Office 365 and a number of other Microsoft cloud services to deliver high value, complete, and predictive application scenarios across all devices and form factors.</p><p>
As an <b>AI Software Engineer II</b> in the Microsoft Dynamics Customer Experience Applications team, you will contribute to the design and implementation of intelligent solutions within Dynamics 365 by applying both software engineering and AI skills. You&rsquo;ll work closely with senior engineers, business stakeholders, and partners to help build scalable, production-ready systems that leverage AI to address real-world business challenges.</p><p>
In this role, you are expected to demonstrate strong software engineering fundamentals -including coding, testing, and deployment - while integrating and optimizing AI models and frameworks. You will contribute to delivering solutions that are reliable, impactful, and innovative, with mentorship and guidance from more senior team members.</p><p>
We innovate and collaborate closely with our partners and customers in a very agile environment. If the opportunity to collaborate with a diverse engineering team, on enabling end-to-end business scenarios using cutting-edge technologies and to solve challenging problems for large scale 24x7 business SaaS applications excite you, we would love to talk to you!</p><b><br>
Responsibilities</b><div><p><br>
As software engineer with applied AI focus in the Microsoft Dynamics Customer Experience Applications team, you will apply both software engineering and AI expertise to build intelligent, scalable solutions that power Dynamics 365 services used globally. You&rsquo;ll collaborate with cross-functional teams to deliver high-impact features aligned with enterprise standards and cloud-scale requirements. Your responsibilities include:</p><ul><li>
Envision, Design, implement, test, deploy, maintain, and improve our software components and services</li><li>
Develop highly usable, scalable application capabilities, integrating AI models and enhancing existing features to meet evolving customer needs.</li><li>
Optimize AI model performance and reliability in production environments, including retraining, evaluation, and continuous monitoring.</li><li>
Embrace and use state-of-the-art new technologies</li><li>
Participate in technical discussions and bring new ideas on the table</li><li>
Own quality of your code</li><li>
Work with Product Managers, Architects and UX Designers to design and specify new features from the engineering standpoint</li><li>
Develop software that empowers customers to optimize their business processes</li><li>
Author internal tools that improve the teams&rsquo; quality and productivity</li><li>
Contribute to the positive, solution focused and creative team spirit</li><li>
Support less experienced team members in their progress and development</li></ul><p>
Throughout your tasks, you will work closely with Program Managers and other Software Engineers to optimize design, quality and functionality as Microsoft places a premium on the ability to work well in a team environment.</p></div><p></p><b><br>
Qualifications</b><p><b><br>
Required Qualifications:</b></p><div><ul><li>
Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.</li></ul><p><b>
Other Requirements:</b><br>
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:<br>
<br>
<b>Microsoft Cloud Background Check</b>: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.</p><p><b>
Preferred Qualifications:</b></p><div><ul><li>
Master's Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.</li><li>
Experience in data pipeline, data modeling and analytics</li><li>
3+ years of professional and balanced full stack experience building cloud applications focused on front end and backend development using technologies like React/JavaScript/TypeScript/CSS/HTML and C#.</li><li>
Experience delivering Dynamics 365 and/or Power Platform solutions.</li><li>
2+ years of experience with GenAI, LLMs, or agentic systems</li><li>
Experienced in architecting, building, and maintaining UX component libraries that adhere to modern web standards.</li><li>
Experience with design and implementation of enterprise-scale services.</li><li>
Excellent verbal, written, and cross-team collaboration skills are essential to succeed in this role.</li><li>
A strong team player and collaborator, across time zones and diverse stakeholder groups.</li><li>
Passion for improving software quality and engineering excellence.</li><li>
Experience in developing, debugging, and supporting code in object-oriented languages and database querying languages.</li><li>
Experience with building infrastructure using Microsoft Azure technology like Service Fabric, App Service, Docker.</li><li>
Experience in developing and debugging product and test code within a micro-services architecture.</li></ul></div><p>
 #BIC</p></div><br>
<br>
<br>
<p>Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year.
</p><p></p><p>Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:<br>
https://careers.microsoft.com/us/en/us-corporate-pay</p><p><br>
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.</p><p></p><p><br>
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process<b>.</b></p></div>

AI Software Engineer II

<div><b>Overview</b><div></div><div><div><p><br>
As a <b>Senior Research Engineer</b> at Microsoft, you will advance Microsoft&rsquo;s mission to empower every person and every organization to achieve more. You will help build and integrate cutting-edge AI into Microsoft products and services within <b>Experience + Devices</b> (E+D) org, ensuring solutions are inclusive, ethical, and impactful. This role blends applied research, machine learning engineering, and product innovation. You will lead efforts to ship reliable, production-grade AI systems across the stack, from model development and fine-tuning to performance optimization and deployment.</p></div><div><p>
We are in an era of unprecedented AI innovation. As Microsoft leads the way in foundation models, multimodal systems, and AI agents, our goal is to build an open architecture platform where users can interact with tailored AI agents that drive tangible, real-world outcomes. As a Senior Research Engineer, you will:</p></div><div><ul><li><p>
Bridge the gap between state-of-the-art research and customer-facing features</p></li></ul></div><div><ul><li><p>
Drive systems-level innovation across models, infrastructure, and deployment</p></li></ul></div><div><ul><li><p>
Champion responsible AI by embedding fairness, safety, privacy, and performance from the ground up</p></li></ul></div></div><b><br>
Responsibilities</b><div><div><p><b><br>
Bringing State-of-the-Art Research to Products</b></p></div><div><ul><li><p>
Design and implement AI systems using foundation models, prompt engineering, retrieval-augmented generation, multi-agent architectures, and classic ML</p></li></ul></div><div><ul><li><p>
Fine-tune large language models on domain-specific data and evaluate via offline and online methods such as A/B testing, telemetry, and shadow deployments</p></li></ul></div><div><ul><li><p>
Build and harden prototypes into production-ready services using robust software engineering and MLOps practices</p></li></ul></div><div><ul><li><p>
Drive original research and thought leadership (whitepapers, internal notes, patents); convert insights into shipped capabilities</p></li></ul></div><div><ul><li><p>
Research Translation: Continuously review emerging work; identify high-potential methods and adapt them to Microsoft problem spaces</p></li></ul></div><div><p><b>
End-to-End System Development</b></p></div><div><ul><li><p>
ML Design &amp; Architecture: Own end-to-end pipeline from data prep, training, evaluation, deployment, and feedback loops</p></li></ul></div><div><ul><li><p>
Identify and resolve model quality gaps, latency issues, and scale bottlenecks using PyTorch, or TensorFlow</p></li></ul></div><div><ul><li><p>
Operate CI/CD and MLOps workflows including model versioning, retraining, evaluation, and monitoring</p></li></ul></div><div><ul><li><p>
Integrate AI components into Microsoft products in close partnership with engineering and product teams</p></li></ul></div></div><div><div><p><b>
Data-Driven Innovation</b></p></div><div><ul><li><p>
Evaluation &amp; Instrumentation: Build robust offline/online evals, experimentation frameworks, and telemetry for model/system performance.</p></li></ul></div><div><ul><li><p>
Learning Loop Creation: Operationalize continuous learning from user feedback and system signals; close the loop from experimentation to deployment.</p></li></ul></div><div><ul><li><p>
Experimentation &amp; E2E Validation: Design controlled experiments, analyze results, and drive product/model decisions with data.</p></li></ul></div><div><ul><li><p>
Develop proofs of concept that validate ideas quickly at realistic scales</p></li></ul></div><div><ul><li><p>
Curate high-signal datasets, including synthetic and red-team corpora, and establish labeling protocols and data quality checks tied to evaluation KPIs</p></li></ul></div><div><p><b>
Cross-Functional Collaboration</b></p></div><div><ul><li><p>
Partner with software engineers, scientists, designers, and product managers to deliver high-impact AI features</p></li></ul></div><div><ul><li><p>
Translate research breakthroughs into scalable applications aligned with product priorities</p></li></ul></div><div><ul><li><p>
Communicate findings and decisions through internal forums, demos, and documentation</p></li></ul></div><div><p><b>
Responsible AI &amp; Ethics</b></p></div><div><ul><li><p>
Identify and mitigate risks related to fairness, privacy, safety, security, hallucination, and data leakage</p></li></ul></div><div><ul><li><p>
Uphold Microsoft&rsquo;s Responsible AI principles throughout the lifecycle</p></li></ul></div><div><ul><li><p>
Contribute to internal policies, auditing practices, and tools for responsible AI</p></li></ul></div><div><p><b>
Operating Altitudes</b></p></div><div><ul><li><p>
Paper level (ideas and math): Read, critique, and adapt the latest research; identify gaps; design methods with clear trade-offs and guarantees; communicate complex ideas clearly.<br>
Example: &ldquo;This objective is brittle under our data regime. Here is a tighter analysis and a revised loss we can test this sprint.&rdquo;</p></li></ul></div><div><ul><li><p>
Code level (implementation): Turn ideas into robust, tested, maintainable modules; integrate with CI/CD; profile and optimize for latency and throughput.<br>
Example: &ldquo;Refactored the prototype into a reusable PyTorch component, added unit tests and benchmarks, and cut P95 inference latency by 30%.&rdquo;</p></li></ul></div><div><p><b>
Specialty Technical Areas</b></p></div><div><ul><li><p>
Large-scale training and fine-tuning of LLMs, vision-language, or multimodal models</p></li></ul></div><div><ul><li><p>
Multi-agent systems, dialogue agents, and copilots</p></li></ul></div></div><div><div><ul><li><p>
Optimization of inference speed, accuracy, reliability, and cost in production</p></li></ul></div><div><ul><li><p>
Retrieval systems and hybrid architectures using RAG and vector databases</p></li></ul></div><div><ul><li><p>
ML for real-world data constraints such as missing data, noisy labels, and class imbalance</p></li></ul></div></div><b><br>
Qualifications</b><div><p><b><br>
Required Qualifications</b></p></div><div><ul><li><p>
Bachelor&rsquo;s degree in Computer Science, Engineering, Mathematics, Statistics, Physics, or a related field and 4 or more years in applied ML or AI research and product engineering,</p><ul><li>
OR Master&rsquo;s degree and 3 or more years in applied ML or AI research and product engineering,</li><li>
OR PhD in a relevant field and 2 or more years with generative AI, LLMs, or related ML algorithms</li></ul></li></ul></div><div><p><b>
Other Requirements</b></p></div><div><p>
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:</p><ul><li><b>
Microsoft Cloud Background Check:</b> This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.</li></ul></div><div><p><b>
Preferred Qualifications</b></p></div><div><ul><li><p>
PhD in AI/ML or related field with top-venue publications and/or patents</p></li></ul></div><div><ul><li><p>
Experience with Microsoft&rsquo;s LLMOps stack: Azure AI Foundry, Azure Machine Learning, Semantic Kernel, Azure OpenAI Service, and Azure AI Search for vector/RAG</p></li></ul></div><div><ul><li><p>
Familiarity with responsible AI evaluation frameworks and bias mitigation methods</p></li></ul></div><div><ul><li><p>
Experience across the product lifecycle from ideation to shipping</p></li><li><p>
Proficiency in Python and at least one deep learning framework such as PyTorch, JAX, or TensorFlow</p></li><li><p>
Experience deploying Fine Tuned LLMs or multimodal models in live production environments</p></li><li><p>
Experience shipping and maintaining production AI systems</p></li></ul><div>
#CXAJOBS</div><div>
#BICJOBS</div></div><br>
<br>
<br>
<p>Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.
</p><p></p><p>Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:<br>
https://careers.microsoft.com/us/en/us-corporate-pay</p><p><br>
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.</p><p></p><p><br>
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process<b>.</b></p></div>

Senior Research Engineer

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
Project Leo is an initiative to launch a constellation of Low Earth Orbit satellites that will provide low-latency, high-speed broadband internet connectivity to un-served and under-served communities around the world. In this role, you will be bringing that vision to life by architecting; developing and testing the embedded security systems software that provides the secured communications between the satellites to customer-terminals and the ground-based internet gateways.<br>
<br>
Export Control Requirement:<br>
Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.<br>
<br>
Key job responsibilities<br>
Join our Leo MAC Software team to revolutionize global connectivity through satellite communications. As a key innovator, you'll develop mission-critical embedded firmware that powers our ground terminal networks and satellite systems, directly impacting millions of users worldwide.<br>
<br>
We're looking for a talented software engineer to architect and optimize Media Access Control (MAC) layer solutions for our next-generation satellite communication platform. You'll work at the intersection of space technology and wireless communications, leveraging your expertise in:<br>
<br>
Bare-metal embedded systems<br>
Embedded Linux development<br>
Modern systems programming (Rust/C)<br>
<br>
This role offers a unique opportunity to shape the future of satellite communications while working with a diverse team of industry experts. Your code won't just run on Earth - it will operate in space, helping bridge the digital divide and connect the unconnected.<br>
<br>
The Role<br>
<br>
Design and implement MAC layer protocols for wireless communication systems<br>
Develop efficient real-time software for resource-constrained embedded platforms<br>
Optimize protocol performance for latency-sensitive applications<br>
Interface with PHY layer implementations and higher network stack components<br>
Collaborate with hardware teams for efficient hardware/software integration<br>
Develop automated testing frameworks for protocol validation<br>
<br>
A day in the life<br>
Come work at Amazon! We need people who want to join an ambitious program that continues to push the state of the art in space-based systems design. Come help us solve the difficult and rewarding development challenges in building highly reliable, power efficient and low-cost satellite avionics!</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>5+ years of non-internship professional software development experience</li><li>5+ years of programming with at least one software programming language experience</li><li>5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience as a mentor, tech lead or leading an engineering team</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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.<br>
<br>
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.<p><br>
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.</p><br>
USA, CA, San Diego - 168,100.00 - 227,400.00 USD annually<br>
USA, CA, Sunnyvale - 193,300.00 - 261,500.00 USD annually<br>
USA, WA, Redmond - 168,100.00 - 227,400.00 USD annually</div><p></p>

Sr. Embedded Software Engineer, Project Leo, leo MAC

<div>
 <strong>
  Overview
  <br/>
  <br/>
 </strong>
 Microsoft Silicon, Cloud Hardware, and Infrastructure Engineering (SCHIE) is the team behind Microsoft&rsquo;s expanding Cloud Infrastructure and responsible for powering Microsoft&rsquo;s &ldquo;Intelligent Cloud&rdquo; mission. SCHIE delivers the core infrastructure and foundational technologies for Microsoft's over 200 online businesses including Bing, MSN, Office 365, Xbox Live, Teams, OneDrive, and the Microsoft Azure platform globally with our server and data center infrastructure, security and compliance, operations, globalization, and manageability solutions. Our focus is on smart growth, high efficiency, and delivering a trusted experience to customers and partners worldwide and we are looking for passionate Firmware Engineer to help achieve that mission.
 <br/>
 <br/>
 As Microsoft's cloud business continues to grow the ability to deploy new offerings and hardware infrastructure on time, in high volume with high quality and lowest cost is of paramount importance. We are seeking a
 <strong>
  Firmware Engineer
 </strong>
 to join our team within SCHIE, where we build the foundational firmware that powers Microsoft&rsquo;s Azure infrastructure&mdash;including its cutting-edge AI accelerator silicon. This role offers a unique opportunity to work across Azure&rsquo;s custom silicon programs and contribute directly to the firmware stack that enables Microsoft&rsquo;s most advanced AI workloads.
 <br/>
 <br/>
 <em>
  At Microsoft, our mission&mdash;to empower every person and every organization on the planet to achieve more&mdash;guides how we partner with customers to deliver trusted, impactful solutions. With a growth mindset culture, we innovate responsibly and measure success by shared progress&mdash;people, teams, and customers. Join us to do meaningful work that changes the world and helps shape what&rsquo;s next for everyone.
  <br/>
  <br/>
 </em>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, develop, debug, test and release firmware for Azure&rsquo;s custom AI silicon programs, including developing and testing firmware on pre-silicon platforms and post-silicon platforms
  </li>
  <li>
   Collaborate with silicon, hardware, architecture and software/firmware teams to deliver secure, production-grade firmware
  </li>
  <li>
   Participate and drive SoC bring up and troubleshooting
  </li>
  <li>
   Participate and support silicon&rsquo;s Data Center deployment and operation
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <strong>
  Required Qualifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's Degree in Electrical Engineering, Computer Engineering, Computer Science, or related field
  </li>
  <ul>
   <li>
    OR equivalent experience.
    <br/>
   </li>
  </ul>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Proficient in embedded RUST, RUST RTOS&rsquo;s and toolchains
  </li>
  <li>
   Experience with SoC bring-up, OS primitives, and multi-threading
  </li>
  <li>
   Experience in working in pre-silicon environments
   <br/>
   <br/>
  </li>
 </ul>
 Firmware Engineering IC2 - The typical base pay range for this role across the U.S. is USD $84,200 - $165,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $109,000 - $180,400 per year.
 <br/>
 <br/>
 Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
 <br/>
 <br/>
 https://careers.microsoft.com/us/en/us-corporate-pay
 <br/>
 <br/>
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 <br/>
 <br/>
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 <strong>
  requesting accommodations.
 </strong>
</div>


Firmware Engineer

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