software engineer

Apple

<p>Apple&rsquo;s OS Security team is looking for a motivated software engineer to design, build, and deploy world-class containment and isolation mechanisms throughout our operating systems. As part of the Security Engineering and Architecture group, you will develop the foundational technologies-including compartmentalization, mandatory access control, and robust policy engines-that ensure our platforms are resilient and never just one mistake away from compromise. Our goal is for users to feel confident that our devices have their back every time they interact with an Apple product.<br>
<br>
<b>Description</b><br>
<br>
In this hands-on software engineering role, you will design robust software systems and craft secure, high-performance code, collaborating across the company with everyone from our Silicon Engineering group to our Human Interface designers. We build technology deep within macOS and iOS internals, but we also lift it up through the software stack, creating ergonomic APIs that connect world-class security engineering directly to developers and users. You will have the autonomy to invest your time into the most promising areas of research and development, seeing your work scale to protect millions of people in their daily lives. Come help us push the boundaries of pragmatic, user-focused security.&quot;,&quot;responsibilities&quot;:&quot;Design and implement state-of-the-art isolation and compartmentalization mechanisms for iOS and macOS internals.<br>
<br>
Develop and maintain label-based and mandatory access systems, alongside the sophisticated policy languages and engines that enforce them.<br>
<br>
Build secure, usable APIs that allow both first-party and third-party developers to easily adopt our containment technologies.<br>
<br>
Analyze high-level frameworks and apps to ensure our security models apply pragmatically across the entire system, while operating mostly at the OS and systems programming level.<br>
<br>
Balance security, performance, and ease of use by breaking down ambitious, multi-year security goals into tangible, deployable steps.<br>
<br>
Collaborate across Apple to ensure our security technologies are not just built, but actively and correctly used by other teams to protect what matters most.<br>
<br>
<b>Preferred Qualifications</b><br>
<br>
Exposure to iOS and macOS (end user, administrator, and/or developer).<br>
<br>
Involvement in open source technologies and development communities such as FreeBSD and Linux.<br>
<br>
Real world kernel and/or hypervisor programming experience.<br>
<br>
Experience designing and implementing security policy languages.<br>
<br>
<b>Minimum Qualifications</b><br>
<br>
BS in Computer Science or equivalent experience/skills in systems programming and security.<br>
<br>
Strong C and low-level systems programming skills.<br>
<br>
Understanding of operating system internals (macOS, iOS, BSD, or Linux).<br>
<br>
Ability to navigate and understand code up and down the software stack (comfortable diving into kernel, low-level userland, framework, and application code).<br>
<br>
Familiarity with past, current, and emerging security exploits and mitigation techniques.<br>
<br>
Demonstrated readiness to balance concurrent priorities, manage technical debt, and deliver on tight schedules.<br>
<br>
Excellent partnership and communication skills to collaborate with a broad range of engineering teams.&quot;,&quot;internalDetails&quot;:null<br>
<br>
<b>Pay &amp; Benefits</b><br>
<br>
This posting is not for a specific job opening and by submitting your resume you are expressing interest in being contacted about this type of role at Apple in the future.</p>

Security Software Engineer, OS Security

<p>Apple Silicon Engineering is seeking Hardware-minded Software engineers to create innovative tools to design the next generation of Apple&rsquo;s world-leading systems-on-chip (SOCs).<br>
<br>
Apple&rsquo;s multi-billion-transistor Ax SOCs are the brain of every iPhone and iPad. The Analog Mixed-Signal circuits connect them to the physical world via complex IPs such as SERDES for data communication, PLLs for clock generation, and sensors for measuring physical quantities.<br>
<br>
Modeling Software Engineers bring a unique and versatile combination of software and hardware expertise. On their way from the designer's mind to becoming a piece of silicon, circuits take form in software. Modeling Software Engineers develop those software-representations of future hardware and then make them real. This includes both the circuits themselves, and the underlying tools to enable hundreds more designers. We use modern software design methodology and apply it to Hardware design.<br>
<br>
<b>Description</b><br>
<br>
This role develops specialized software tools and simulation platforms that enable the design of analog mixed-signal circuits for Apple's custom silicon chips. You'll combine software engineering expertise with hardware knowledge to build automation frameworks, optimization algorithms, and modeling environments that help circuit designers create the physical interfaces connecting Apple's processors to the real world. The position requires strong programming skills in Python or C++ and involves working on challenging problems at the intersection of software development and hardware design.&quot;,&quot;responsibilities&quot;:&quot;Architect tools, frameworks, and simulation environments for analog design workflows<br>
<br>
Design and implement software for simulation platforms that integrate multiple simulators for analog mixed-signal IP development<br>
<br>
Develop constraint-driven placement and routing algorithms for analog circuit design. Implement software solutions that capture layout intent, matching requirements, and parasitic constraints<br>
<br>
Build scientific software packages and frameworks for hardware design automation<br>
<br>
Create custom hardware description libraries, frameworks, and domain-specific languages<br>
<br>
Develop web-based interfaces and visualization tools to enhance designer productivity<br>
<br>
<b>Preferred Qualifications</b><br>
<br>
Expert-level proficiency in Python and/or C++<br>
<br>
Strong background in object-oriented programming (OOP) and software architecture design<br>
<br>
Experience with computational geometry, constraint solvers, or optimization algorithms<br>
<br>
Knowledge of event-driven programming and system-level simulation frameworks<br>
<br>
Understanding of analog layout principles (matching, shielding, parasitics, DRC/LVS) and EDA tool APIs and file formats (LEF/DEF, GDSII, OpenAccess)<br>
<br>
Experience developing web applications (e.g., Flask, React) and designing frontend user interfaces<br>
<br>
<b>Minimum Qualifications</b><br>
<br>
Bachelors of Science in Electrical Engineering.<br>
<br>
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .<br>
<br>
<b>Pay &amp; Benefits</b><br>
<br>
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $126,800 and $220,900, and your base pay will depend on your skills, qualifications, experience, and location.<br>
<br>
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.<br>
<br>
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</p>

Analog Mixed-Signal Modeling Software Engineer

<p>Are you excited about using data to shape the experience of products used by hundreds of millions of people around the world?<br>
<br>
The Evaluation Data Engineering team, part of Apple&rsquo;s SWE organization, builds the scalable and reliable data platform that powers Siri, Search, and Machine Learning across Apple.<br>
<br>
We&rsquo;re looking for collaborative and mission-driven software engineers who care deeply about data quality, user impact, and building at scale.<br>
<br>
If you&rsquo;re passionate about tackling complex data challenges, eager to work with petabytes of data, and inspired by Apple&rsquo;s commitment to privacy and innovation, we&rsquo;d love to hear from you.<br>
<br>
<b>Description</b><br>
<br>
In this role, you&rsquo;ll work cross-functionally across product and data science teams to build large-scale stream and batch processing data pipelines that power Analytics, Experimentation, and Machine Learning.<br>
<br>
You will design a unified and groundbreaking data processing framework using Flink, and/or Spark.<br>
<br>
Your work will focus on optimizing performance, ensuring data quality, and contributing to a long-term vision that extends the framework&rsquo;s capabilities to new user scenarios and groundbreaking machine learning applications.<br>
<br>
You will collaborate closely with Siri, Search, and other teams to design solutions that transform raw data into datasets that drive innovation.<br>
<br>
You&rsquo;ll automate dataset lifecycles with strong quality standards and help partners confidently use the data for product insights.<br>
<br>
<b>Preferred Qualifications</b><br>
<br>
Strong in algorithms, data structures, data modeling, and SQL, with experience working on large-scale, complex, and high-dimensional datasets.<br>
<br>
Experience with machine learning algorithms or pipelines, particularly in the context of data engineering.<br>
<br>
Experience supporting ML engineers or data scientists with feature engineering or model data pipelines is a plus.<br>
<br>
Familiarity with testing tools and methodologies for validating large-scale, distributed data systems (e.g., data quality checks, pipeline testing frameworks, fault tolerance testing).<br>
<br>
Proven software engineering fundamentals, including experience with design, testing, version control, and CI/CD best practices.<br>
<br>
Comfortable working independently in a fast-paced, ambiguous environment.<br>
<br>
Excellent communication and problem-solving skills.<br>
<br>
<b>Minimum Qualifications</b><br>
<br>
7+ years of experience designing, building, and maintaining distributed data processing systems at scale.<br>
<br>
5+ years of hands-on experience with stream and/or batch processing technologies such as Flink, Spark, Kafka, Airflow, Iceberg, and Trino.<br>
<br>
2-3 years of experience in full-stack development<br>
<br>
Proficient in at least one modern programming language (e.g., Java, Scala, and Python).<br>
<br>
MS or BS in Computer Science, Engineering, Math, Statistics, or a related field, or equivalent practical experience in data engineering.<br>
<br>
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .<br>
<br>
<b>Pay &amp; Benefits</b><br>
<br>
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location.<br>
<br>
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.<br>
<br>
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</p>

AIML - Sr Software Data Engineer, Evaluation

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago&mdash;even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world.<br>
<br>
Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago&mdash;even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world.<br>
<br>
AWS Nitro is the underlying platform for our next generation EC2 instances. Comprised of custom AWS hardware and software that work together to deliver security and performance that is indistinguishable from bare metal.<br>
<br>
As part of the Nitro team, you will be a thought leader supporting the ground-up development of key features that will support advanced hardware that offloads and accelerates IO for functions, security chips that enable the most secure cloud platform available today, and lightweight hypervisors that manage memory and CPU allocation, delivering bare-metal performance at scale.<br>
<br>
Key job responsibilities<br>
The successful candidate will be expected to:<br>
<br>
Actively contribute to software development across all verticals, from Linux services and drivers, and related applications, Nitro card integration and Platform bringups.<br>
<br>
Collaborate with cross-functional teams and stakeholders to align development efforts with broader organizational goals.<br>
Stay current with emerging technologies and industry trends related to Nitro Cards and AWS infrastructure.<br>
<br>
About the team<br>
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we&rsquo;re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Bachelor's degree in Computer Science or related technical field</li><li>3+ years of engineering experience</li><li>3+ years of embedded firmware development experience</li><li>3+ years of experience with programming language: C or C++</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience in embedded development in C/C++, or experience writing low level drivers</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, Cupertino - 165,200.00 - 223,600.00 USD annually<br>
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually</div><p></p>

Software Development Engineer, Nitro Card, Annapurna Labs

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Annapurna Labs stands at the forefront of hardware/software co-design, leading innovation not just within Amazon Web Services (AWS) but across the entire industry. We design and build every component of our hardware and software to create best-in-class machine learning products that accelerate customer workloads through industry leading hardware using our custom silicon solutions. If you're passionate about building the highest-performing, hardware-accelerated Machine Learning systems and want to be part of the entire journey from pre- through post-silicon development, Annapurna Labs offers an exceptional career opportunity. Join us in shaping the future of AI acceleration<br>
<br>
At the heart of AWS Machine Learning servers reside our custom Amazon-designed silicon that powers next-generation machine learning capabilities for our customers. We're seeking an experienced C/C++ engineer to join our embedded software team, where you'll develop bare metal firmware that drives neural network model execution across our custom ASIC-based ML Accelerator chips.<br>
<br>
Working at the intersection of hardware and software, you'll collaborate closely with our architecture and design teams to co-develop the firmware and custom hardware that enables machine learning within our accelerator chips. Our mission is ambitious: to democratize access to industry-leading ML infrastructure and make deep learning capabilities accessible to everyday software developers. From the ground up, you'll help build the foundation that makes this vision possible.<br>
<br>
the Annapurna Labs team operates with the agility and culture of a startup, but with the full weight of Amazon behind us and we invite you visit the link below for a glimpse inside our labs to see exactly the incredible technology and people you will work with at Annapurna Labs!<br>
<br>
https://www.aboutamazon.com/news/aws/take-a-look-inside-the-lab-where-aws-makes-custom-chips<br>
<br>
This is a fast-paced, challenging position, where you'll work with thought-leaders in multiple technology areas. You'll have high standards for yourself and everyone you work with, and you'll be constantly looking for ways to improve our products' performance, quality, and cost. We're searching for individuals who want to reach beyond what is possible today and change an industry.
<br>
<br>
No prior ML knowledge is required for this role and you will learn about the inner workings of ML and our custom ML accelerators as part of your onboarding.<br>
<br>
Key job responsibilities<br>
<ul><li>Software / hardware architecture and co-design</li><li>Bare metal C/C++ software development, testing, debug, and performance improvements</li><li>Test suite and infrastructure development</li><li>Developing software which can be maintained, improved upon, documented, tested, and reused</li><li>Close collaboration with RTL designers, design verification engineers, other software teams and customers</li></ul></div><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>2+ years of programming using a modern programming language such as Java, C++, or C#, including object-oriented design experience</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>3+ 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><li>Experience in computer architecture</li><li>Experience writing firmware or bare metal software using C/C++</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, Cupertino - 165,200.00 - 223,600.00 USD annually<br>
USA, TX, Austin - 143,700.00 - 194,400.00 USD annually</div><p></p>

C/C++ Hardware / Software Co-Design SDE, Machine Learning Acceleration Systems

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></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.<br>
<br>
What you'll do:<br>
<br>
<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><br>
Why this role is interesting:<br>
<br>
<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><br>
You will thrive in this role if you:<br>
<br>
<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><br>
No ML background needed. You'll learn the ML accelerator domain on the job.<br>
<br>
This role can be based in Cupertino, CA or Austin, TX.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></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"><b>
PREFERRED QUALIFICATIONS</b></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><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, Cupertino - 165,200.00 - 223,600.00 USD annually<br>
USA, TX, Austin - 143,700.00 - 194,400.00 USD annually</div><p></p>

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

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div>JOB DESCRIPTION:
</div><div>You will be responsible for debugging robotic solutions, including robotic arms and other solutions that are built in-house.
</div><div>You must know how robotics works and have an understanding of software and hardware.
</div><div>You must be familiar with assembling, performing testing QA of the solutions, including final deployment environments, capable testing robots that go from point A to point B, know the mechanics, how the different parts are connected, and how to operate using the software.
</div><div>Tasks include the ability to debug the deployed solutions, perform the QA and assist with debugging issues.
</div><div>You will work closely with engineers to assemble. You will not write solutions from scratch.
</div><div>Must know about operating a robotic arm, know how to debug if there is an issue, i.e., power supply, and complete checks to debug the issue.
</div><div>You will work with other Robotics Engineers and debug these systems. They will help to deploy, assemble and test these systems.
</div><div>You will run debugging scripts.
</div>
<div></div><div>Requirements:
</div><ul><li>Excellent debugging and troubleshooting experience on software and hardware.
</li></ul><ul><li>Understanding how robots operate. You will be trained on these systems, but you must have experience in debugging systems on robotics or
</li></ul><div>hardware systems.
</div><ul><li>Ability to assemble robotic components
</li></ul><ul><li>Experience with ROS.
</li></ul><ul><li>Python scripting is preferred.
</li></ul><ul><li>Masters/PhD grads with hands-on experience that can debug will be considered.</li></ul><br>
<div><br>
</div><div>Salary Range: $90,000-$150,000 a year
</div>
<div></div><div>#LI-AS3</div><br>
<div><br>
</div></div></div></div><div><div><div><b>Location</b></div>
<div>Cupertino, CA</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Senior Engineer</div>
</div><div><div><b>Job Id</b></div>
<div>411535</div>
</div><div><div><b>Desired Skills</b></div>
<div>Robotics</div>
</div><div><div><b>Salary Range</b></div>
<div>$90,000-$150,000 a year</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF TECHNOLOGY</div></div></div><div></div>

Senior Robotics Engineer

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