algorithm design engineer

<div><p>SXD is a design-tech start-up from Harvard charting a radical new standard: to eliminate material waste with great design and bleeding-edge AI. Our design has won the Global Change Award considered the &ldquo;Nobel Prize of Fashion&rdquo; while our technology has won MIT Solve&rsquo;s Global Challenge. Our dynamic team includes award-winning leaders from Instagram to Adidas, passionately committed to zero waste, obsessed with proving the impossible possible.</p><p><b>
Why We Need You
</b></p><p>SXD has an immediate opening for an experienced Algorithm Engineer to build our patent-backed, award-winning design-tech web application. You will be the critical builder behind SXD&rsquo;s mission of making zero waste the new standard across fashion and automotive.
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You will partner closely with our Director of Technology, a computer science PhD from Adobe Research and a trailblazer in scaling the most efficient designs into digitized blueprints for manufacturing via AI.
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You will join a tight-knit team of mission-driven creators and work with our network of industry leaders to ensure that our product is built for the easiest adoption.
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If you&rsquo;re excited by high-impact engineering, real-world results, and building something that will shape the future of design&mdash;this is your role.</p><p><b><br>
What You&rsquo;ll Do
</b></p><ul><li><p>Develop, refine, and maintain optimization algorithms in C++ using linear algebra techniques to support zero waste design outputs.
</p></li><li><p>Explore and implement multivariate optimization methods&mdash; from simplex to gradient-based and evolutionary algorithms&mdash; tuning for performance and robustness in production.
</p></li><li><p>Design and optimize custom cost functions for machine learning models, including hyperparameter tuning and loss shaping to improve practical outputs.</p></li><li><p>
Boost computational performance through algorithmic redesign, greedy heuristics, parallelization, and profiling at a low system level.
</p></li><li><p>Write modular, scalable, and clean code across C++, Python, and at least one additional systems language (e.g., Rust or JavaScript).
</p></li><li><p>Analyze the time and space complexity of algorithms and systems, ensuring efficient performance at scale.
</p></li><li><p>Build and use internal debugging tools, visualizers, and test harnesses to speed up experimentation and improve engineering workflows.
</p></li><li><p>Collaborate with front-end engineers, 2D/3D designers, and researchers to integrate algorithmic solutions seamlessly into user-facing product features.
</p></li><li><p>Translate academic and theoretical breakthroughs into real-world, scalable solutions adopted by leading fashion and automotive partners.</p></li></ul><p><b>
We Want to Talk To You If You</b></p><ul><li><p>
Have experience implementing, improving, and maintaining optimization algorithms in C++ using linear algebra techniques (e.g., vector and matrix manipulation).
</p></li><li><p>Are comfortable with multivariate optimization methods&mdash;from classic simplex-style solvers to modern gradient-based and evolutionary approaches&mdash;and have a track record of tuning them for speed and robustness.
</p></li><li><p>Have hands-on work experience with machine-learning algorithms that minimize or otherwise optimize cost functions, including custom loss design and hyperparameter search.
</p></li><li><p>Are good at communicating the ins and outs of thorny technical problems in simple language, allowing team members to zero in on and demolish issues and bugs.</p></li><li><p>
Are skilled in boosting ML/optimization performance through algorithmic redesign, greedy heuristics, parallelization, and low-level profiling.
</p></li><li><p>Are familiar with object-oriented and functional programming paradigms, together with rigorous analysis of time and space complexity to keep web-scale pipelines snappy.
</p></li><li><p>Are proficient in C++ and Python, and at least one additional systems language (e.g., Rust or JavaScript for WebAssembly) for bridging core solvers to the product front end.
</p></li><li><p>Are comfortable dogfooding internal tools&mdash;building quick-turn scripts, debuggers, visualizers, and test harnesses that shorten feedback loops for yourself and the wider team.</p></li><li><p>
Are collaborative and excited to partner with designers, front-end engineers, and researchers to translate algorithmic advances into intuitive product features that drive our zero waste mission.
</p></li><li><p>Are energized by turning cutting-edge research into scalable, user-ready tools, and love solving hard, technical problems that have meaningful, real-world impact.</p></li></ul><p><b>
Why SXD May NOT Be For You
</b></p><ul><li><p>We&rsquo;re working on bleeding-edge technology and breaking new ground, which also means a lot of uncertainty and constant change/re-prioritization.
</p></li><li><p>We&rsquo;re a small team without many of the amenities, infrastructure, and proven practices you may be used to from working with larger, established teams.</p></li></ul><p><b>
Why SXD?
</b></p><ul><li><p>From turning the largest music record labels&rsquo; tour merchandise zero waste to creating the first zero waste car components, you will be making outsized impact daily.
</p></li><li><p>You will get to work with the best of the best through our global team, from a world-renowned AI professor from Tokyo, to Levi&rsquo;s former head of technical design from Paris.
</p></li><li><p>We know that we are changing the game in design. We have proven 10x more impact in material saving, environmental benefits, and material cost saving than any other solution today.
</p></li><li><p>Without a sales or marketing team, we have attracted the most iconic global brands across apparel and automotive industries.</p></li></ul><p><b>
Benefits</b></p><ul><li><p>
Competitive salary and stock options
</p></li><li><p>Health benefits through Take Command
</p></li><li><p>Flexible PTO
</p></li><li><p>Stipends/bonus for exceptional project work
</p></li><li><p>Opportunity to partner with iconic brands and industry legends</p></li></ul></div>

Algorithm Engineer

<div><div>Company Overview</div>
KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&amp;D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world&rsquo;s leading technology providers to accelerate the delivery of tomorrow&rsquo;s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.<div></div><div>
Group/Division</div>
With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA&rsquo;s metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. The Film and Scatterometry Technology (FaST) Division provides industry leading metrology solutions for worldwide semiconductor IC manufacturers. The FaST Division portfolio of metrology products includes hardware and software solutions for optical film thickness, optical critical dimension (CD), composition, and resistivity measurement systems. These products are essential for the IC manufacturers as they provide critical metrology capabilities for the development and implementation of their advanced IC processes. The FaST division is committed to support our customers to achieve performance entitlement of our solution and we effectively partner with our customers from their early research and development phase to the high volume in-line manufacturing implementation specific for their process needs. The division consists of a global team located in US, Israel, China, and India.<div></div><div>
Job Description/Preferred Qualifications</div><div>
Join a dynamic and collaborative team of scientists and software engineers working on cutting-edge solutions in optical metrology for semiconductor process control. This highly diverse yet cohesive group plays a critical role in developing algorithms that directly influence product success.</div><div></div><div>
Key Responsibilities</div><ul><li>
Design and develop advanced algorithms to improve the precision and quality of measurements for nanoscale films and structures in semiconductor manufacturing.</li><li>
Implement these algorithms within a robust, high-reliability numeric library architecture.</li><li>
Collaborate closely with hardware engineers and application scientists to troubleshoot and resolve algorithm-related challenges.</li><li>
Explore broader aspects of algorithm-centric software development, with opportunities to deepen expertise in areas such as:<ul><li>
Software architecture</li><li>
High-performance computing</li><li>
System engineering</li><li>
Machine learning<br>
<i>(Minimal travel required.)</i></li></ul></li></ul><div></div><div>
Desired Qualifications</div><ul><li>
Proficiency in developing efficient C++ implementations of numeric algorithms.</li><li>
Experience with application development using Microsoft Visual Studio.</li><li>
Excellent problem-solving skills and ability to work in a collaborative environment.</li></ul><div></div><div>
Strong knowledge in one or more of the following areas:</div><ul><li>
Optics and optical scatterometry</li><li>
Electromagnetic wave propagation in layered media</li><li>
Electromagnetic material properties</li><li>
Semiconductor materials</li><li>
Signal processing</li><li>
Nonlinear optimization</li><li>
Linear algebra</li></ul><div></div><div>
Minimum Qualifications</div><ul><li>
Master's Degree, or Bachelor&rsquo;s degree with 2 years of work experience.</li><li>
A degree in Physics, Applied Mathematics or a related field</li><li>
Proficiency in C++ and object-oriented programming, debugging techniques, and scientific data presentation.</li><li>
Strong English communication skills</li></ul><div></div>
Base Pay Range: $130,400.00 - $221,700.00 Annually<div></div>
Primary Location: USA-CA-Milpitas-KLA<div></div>
KLA&rsquo;s total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave.<div></div><div>
Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.</div><div></div><div><br>
KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at <div>talent.acquisition@kla.com</div> or at +1-408-352-2808 to request accommodation.</div><div></div><div>
Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched <div>KLA&rsquo;s Careers website</div> for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to <div>talent.acquisition@kla.com</div> to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.</div></div><div></div>

Algorithm Development Engineer

Technology Next

<p><b>Urgently hiring for Gen AI Engineer</b></p><p><b>Work Mode: Remote</b><br/><b>Experience: 4+ year&rsquo;s</b></p><p><b>Must Have</b></p><ul><li>Overall 4+ years of experience in AI/ML solution development, including</li><li>hands-on work on at least one production-grade Gen AI use case.</li><li>Strong practical experience in Gen AI solution development, particularly</li><li>in RAG-based or Agentic implementations for global customers.</li><li>Exposure to Agentic AI concepts and Knowledge of using Agentic</li><li>frameworks such as LangGraph or others.</li><li>Hands-on experience with open-source LLMs (e.g., Llama, GPT-OSS)</li><li>and multimodal models.</li><li>Strong understanding of Evaluating and Refining Gen AI Solution</li><li>performance.</li><li>Strong analytical, debugging, and problem-solving skills</li></ul><p><b>Good to Have</b></p><ul><li>Experience with cloud platforms (AWS, Azure, or GCP) for AI solution</li><li>deployments.</li><li>Familiarity with DevOps, CI/CD for Gen AI solution deployment.</li><li>Understanding of various RAG methodologies, Query Transformation, Prompt</li><li>Optimization techniques.</li><li>Awareness of LLM Guardrails, Best practices in enterprise environments.</li></ul><p>Job Types: Full-time, Permanent</p><p>Pay: &#8377;2,000,000.00 - &#8377;2,500,000.00 per year</p><p>Experience:</p><ul><li>Gen AI: 4 years (Required)</li><li>LLM: 4 years (Required)</li></ul><p>Work Location: Remote</p>

Gen AI Engineer

Iwayplus Private Limited

<p><b>Job Summary:</b></p><p>We are seeking a highly skilled and hands-on expert in <b>indoor navigation and localization algorithms</b> who can design, simulate, and implement real-time positioning systems using Bluetooth beacons and sensors. The ideal candidate should have deep experience with <b>EKF (Extended Kalman Filter)</b>, <b>Particle Filters</b>, sensor fusion, and translating these into a <b>mobile application (Flutter/Android/iOS)</b> for real-world deployment in complex indoor spaces (e.g., hospitals, malls, zoos, or campuses).</p><p><b>Key Responsibilities:</b></p><ul><li>Design, implement, and optimize <b>real-time indoor localization algorithms</b> using BLE RSSI, IMU, and other onboard sensors.</li><li>Develop <b>sensor fusion pipelines (Bluetooth and PDR)</b> using <b>EKF</b>, <b>UKF</b>, and/or <b>Particle Filter</b> techniques.</li><li>Build and test localization simulations using Python/MATLAB and transition working logic into mobile platforms.</li><li>Integrate beacon-based localization into mobile apps (preferably Flutter or native Android/iOS).</li><li>Calibrate and filter BLE RSSI signals, apply outlier removal, smoothing (e.g., Kalman filters, EWMA), and fingerprinting.</li><li>Design UI/UX for <b>live indoor maps</b> and path guidance features.</li><li>Work with map rendering libraries (Mapbox,Google Maps, Leaflet, etc.) or custom indoor mapping solutions.</li><li>Collaborate with design and testing teams to test in real-world environments and iterate on improvements.</li><li>Conduct field tests in indoor environments and tune system performance.</li></ul><p><b>Required Skills:</b></p><ul><li>Strong grasp of <b>probabilistic robotics</b>, localization, and sensor fusion.</li><li>Proficiency with <b>Kalman Filter (EKF/UKF)</b> and <b>Particle Filter</b> implementations.</li><li>Strong programming experience in <b>Python</b>, <b>C++</b>, and <b>mobile development (Flutter, Android, or iOS)</b>.</li><li>Experience with <b>BLE beacons</b> (iBeacon, Eddystone) and handling noisy RSSI data.</li><li>Experience in building or simulating localization models in <b>Python</b>, or <b>ROS</b>.</li><li>Familiarity with <b>SLAM</b>, *<i>path planning (A</i>, Dijkstra)**, and <b>map-matching algorithms</b>.</li><li>Experience integrating <b>Mapbox</b>, <b>OpenStreetMap</b>, GoogleMpas or custom SVG/GeoJSON maps.</li><li>Practical experience in mobile sensor APIs: accelerometer, gyroscope, magnetometer, barometer, etc.</li></ul><p><b>Bonus Skills (Nice to Have):</b></p><ul><li>Experience with Wi-Fi or UWB-based localization.</li><li>Experience with <b>Real-Time Kinematic (RTK)</b>, Motion Model, Localization, path planning, and navigation algorithums</li><li>Familiarity with <b>indoor mapping standards</b>, e.g., IndoorGML, IMDF, GeoJSON.</li><li>Familiarity with <b>Unity3D/ARCore/ARKit</b> for immersive indoor experiences.</li><li>Prior work in hospitals, smart buildings, or warehouse navigation systems.</li></ul><p><b>Education:</b></p><ul><li>Bachelor's or Master&rsquo;s in Robotics, Computer Science, Electrical Engineering, or a related field.</li><li>Projects or open-source contributions in the field of localization/navigation are a plus.</li></ul><p>Job Types: Full-time, Permanent</p><p>Pay: &#8377;720,000.00 - &#8377;1,000,000.00 per year</p><p>Benefits:</p><ul><li>Flexible schedule</li><li>Health insurance</li></ul><p>Ability to commute/relocate:</p><ul><li>New Delhi, Delhi: Reliably commute or planning to relocate before starting work (Preferred)</li></ul><p>Work Location: In person</p><p>Application Deadline: 06/07/2025<br/>Expected Start Date: 15/07/2025</p>

Navigation Algorithm Developer

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Utility Computing (UC)<br>
AWS Utility Computing (UC) provides product innovations &mdash; from foundational services such as Amazon&rsquo;s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS&rsquo;s services and features apart in the industry. As a member of the UC organization, you&rsquo;ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services.<br>
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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>
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About AWS<br>
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<br>
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Diverse Experiences<br>
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
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Work/Life Balance<br>
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.
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Inclusive Team Culture<br>
Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.<br>
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Mentorship &amp; Career Growth<br>
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
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Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers. As a member of the Cloud-Scale Machine Learning Acceleration team you&rsquo;ll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, our custom designed machine learning inference datacenter server. Our success depends on our world-class server infrastructure; we&rsquo;re handling massive scale and rapid integration of emergent technologies. We&rsquo;re looking for an ASIC Design Eengineer to help us trail-blaze new technologies and architectures, while ensuring high design quality and making the right trade-offs.<br>
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Key job responsibilities<br>
<ul><li>integrate multiple subsystems into top level SOC, ensure correct clock/reset/functional/DFT signal routing</li><li>As a key member of the ASIC design team, you will implement and deliver high performance, area and power efficient RTL to achieve design targets and specifications.</li><li>Analyze design, microarchitecture or architecture to make trade-offs based on features, power, performance or area requirements.</li><li>Develop micro-architecture, implement SystemVerilog RTL, and deliver synthesis/timing clean design with constraints.</li><li>Perform lint and clock domain crossing quality checks on the design.</li></ul>
- Work with with architects, other designers, verification teams, pre- and post-silicon validation teams, synthesis, timing and back-end teams to accomplish your tasks.<br>
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You will thrive in this role if you:<br>
<ul><li>Are familiar with scripting in Python</li><li>Are proficient with assertions</li><li>Have good debug skills to analyze RTL test failures</li><li>Have a &quot;Learn and Be Curious&quot; mindset</li></ul><br>
About the team<br>
Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers. As a member of the Cloud-Scale Machine Learning Acceleration team you&rsquo;ll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, our custom designed machine learning inference datacenter server. Our success depends on our world-class server infrastructure; we&rsquo;re handling massive scale and rapid integration of emergent technologies. We&rsquo;re looking for an ASIC Design Eengineer to help us trail-blaze new technologies and architectures, while ensuring high design quality and making the right trade-offs.<br>
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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.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>BS degree in electrical engineering or equivalent</li><li>3+ years in RTL design for SOC</li><li>3+ years of VLSI engineering</li><li>3+ years with code quality tools including: Spyglass, LINT, or CDC</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience scripting for automation (e.g., Python, Perl, Ruby)</li><li>Experience with Microarchitecture, SystemVerilog RTL, Assertions, SDC constraints</li><li>Familiarity with data path design, interconnects, AXI protocol</li><li>Good analytical, problem solving, and communication skills</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>
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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>
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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.<br>
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Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,800/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration team

ZATNav

<p>Job description:</p><p>Location: ZATNav Pvt Ltd &ndash; B-17, Islamabad</p><p>Job Type: Full-time</p><p>Experience: 0&ndash;2 Years</p><p>Job Overview:</p><p>ZATNav is looking for a motivated Junior Embedded Systems &amp; Hardware Design Engineer to join our engineering team. The ideal candidate should have a strong background in signal processing, embedded programming, and FPGA-based system design. You will be involved in algorithm development, hardware implementation, and real-time system integration.</p><p>Key Responsibilities:</p><p>Design and develop embedded systems for real-time signal processing applications.</p><p>Implement and test algorithms such as DOA (Direction of Arrival) &mdash; MUSIC, LCMV, MVDR, etc.</p><p>Develop and optimize code in C/C++, Python, and MATLAB for algorithm prototyping and validation.</p><p>Design and verify digital systems using Verilog/SystemVerilog for FPGA-based implementations.Work on hardware design, testing, and debugging for embedded platforms.</p><p>Conduct system simulations and performance evaluations to ensure optimal design efficiency.</p><p>Required Skills &amp; Expertise:</p><p>Strong proficiency in C/C++, Python, and MATLAB.</p><p>Experience with Verilog/SystemVerilog and FPGA implementation.</p><p>Solid understanding of applied linear algebra and digital signal processing.</p><p>Knowledge of DOA algorithms (MUSIC, LCMV, MVDR, etc.) and their implementation.</p><p>Familiarity with signal processing algorithms, data acquisition, and real-time systems.</p><p>Educational Requirements:</p><p>BS in Electrical Engineering, Electronics Engineering, or a related discipline.</p><p>MS (preferred) in IC Design, Digital System Design, Embedded Systems, or related fields.</p><p>Experience:RTL/Behavorial Design: 1 year (Preferred)</p><p>To Apply:</p><p>Please share you resume to ihzam@zatnav.com with title &quot;Junior Embedded Systems &amp; Hardware Design Engineer&quot;.</p><p>Job Type: Full-time</p><p>Work Location: In person</p>

Junior Embedded Systems & Hardware Design Engineer

Cloudseed Technologies

<div></div><div><div>Design and develop cutting-edge Generative AI solutions using frameworks like LangChain and LlamaIndex. Collaborate with cross-functional teams to prototype, optimize, and deploy scalable AI models on cloud platforms.</div><div><div><div><h2 class="jobSectionHeader"><b>
Experience level</b></h2><div>
5+ Years</div></div><div><h2 class="jobSectionHeader"><b>
Skills required</b></h2><div><ul><li>
Python, React, NestJS, AWS, LangChain, etc.</li><li>
Hackathons, tech talks, and internal knowledge sharing</li></ul></div></div><div><h2 class="jobSectionHeader"><b>
Essential qualifications</b></h2><div><ul><li>
Team spirit, strong communication skills to collaborate with various stakeholders</li><li>
Good time-management skills</li><li>
Excellent written and verbal communication skills.</li><li>
Multi-tasking and time-management skills, with the ability to prioritize tasks.</li><li>
Professional, precise communication skills</li></ul></div></div><div><h2 class="jobSectionHeader"><b>
About employer</b></h2><div><p>
Cloudseed Technologies is a global IT services company with clients based in the United States, South Africa, Mauritius, and the Middle East.</p><p>
cloudseed.io</p></div></div><div><h2 class="jobSectionHeader"><b>
Employment type</b></h2><div><p>
Full-time</p></div></div><div><h2 class="jobSectionHeader"><b>
Compensation</b></h2><div><p>
Commensurate with experience</p><p>
PF and paid leaves provided</p></div></div><div><h2 class="jobSectionHeader"><b>
Location preferences</b></h2><div><p>
Coimbatore / Hyderabad / WFH</p></div></div></div></div></div><div></div>

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