At Silicon Labs, we hire and empower great talent to achieve their full potential. By offering challenging projects, technical mentorship, and continuous learning opportunities, we ensure our employees thrive at every stage of their careers. Here, you’ll work alongside some of the industry’s brightest minds, tackling complex problems that deepen your expertise and expand your horizons.

Silicon Labs

Principal Static Timing Analysis Engineer

Planner II

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This position at Silicon Labs involves the development of timing constraints and timing closure signoff of low power Wireless SoCs and IP systems. The role focuses on multi-core, multi-threaded processor subsystems supporting various wireless protocols and applications like sensor hub and AI/ML, with a strong emphasis on achieving best-in-class power targets. The engineer will improve existing static timing analysis flows, develop signoff criteria, and collaborate globally to resolve complex timing issues.

Software Developer in Test II

Silicon Labs (NASDAQ: SLAB) is the leading innovator in low-power wireless connectivity, building embedded technology that connects devices and improves lives. Merging cutting-edge technology into the world’s most highly integrated SoCs, Silicon Labs provides device makers the solutions, support, and ecosystems needed to create advanced edge connectivity applications. Headquartered in Austin, Texas, Silicon Labs has operations in over 16 countries and is the trusted partner for innovative solutions in the smart home, industrial IoT, and smart cities markets. Learn more at www.silabs.comThis position involves the development of timing constraints and timing closure signoff of low power Wireless SoCs and IP systems. These SoC devices are multi-core, multi-threaded processor subsystems with multi-level cache, capable of supporting multiple wireless protocols and application functionality, such as sensor hub, AI /ML and are specified to exceed best-in-class power targets. These SoCs deploy a complex, deeply gated clock network with many asynchronous clock sources.Responsibilities<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Develop timing constraints at both the IP and SoC level in collaboration with the designers</li><li class="leading-relaxed">Improve or evolve existing static timing analysis flows and methodologies.</li><li class="leading-relaxed">Develop required timing signoff criteria, such as aging, on chip variation, and signal integrity</li><li class="leading-relaxed">Analyze timing reports using scripting techniques to develop insights and drive rapid timing closure</li><li class="leading-relaxed">Collaborate with a global design team to resolve complex static timing issues</li><li class="leading-relaxed">Collaborate with a multi-functional team to drive timing closure for mixed-signal IP integration</li></ul>Skills You Will NeedMinimum Qualifications<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">15+ years in Industry</li><li class="leading-relaxed">Bachelor or Master’s degree in Electrical or Computer Engineering</li><li class="leading-relaxed">In depth knowledge of the timing closure flow and methodology</li><li class="leading-relaxed">Experience in timing constraint development, both functional and test modes (such as scan)</li><li class="leading-relaxed">Hands-on experience with static timing tools, such as Tempus or Primetime</li><li class="leading-relaxed">In depth knowledge of scripting languages like Perl, Python, Tcl, shell</li><li class="leading-relaxed">Knowledge of timing closure modes and corners</li><li class="leading-relaxed">Knowledge of low power design methodology (static/dynamic clock gating, power gating, dynamic voltage and frequency scaling)</li><li class="leading-relaxed">Knowledge of timing model generation of mixed signal IP</li><li class="leading-relaxed">Knowledge of design flows including Lint, CDC, Synthesis, Logic Equivalence, DFT, Place and Route</li><li class="leading-relaxed">Knowledge of Verilog and System Verilog</li><li class="leading-relaxed">Experience with artificial intelligence (AI) powered tools and technologies used to enhance productivity, analysis, and decision-making</li></ul>Benefits & PerksYou can look forward to the following benefits:<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Great medical (Choice of PPO or Consumer Driven Health Plan with HSA), dental and vision plans</li><li class="leading-relaxed">Highly competitive salary</li><li class="leading-relaxed">401k plan with match and Roth plan option</li><li class="leading-relaxed">Equity rewards (RSUs)</li><li class="leading-relaxed">Life/AD&D and disability coverage</li><li class="leading-relaxed">Flexible spending accounts</li><li class="leading-relaxed">Adoption assistance</li><li class="leading-relaxed">Back-Up childcare</li><li class="leading-relaxed">Additional benefit options (Commuter benefits, Legal benefits, Pet insurance)</li><li class="leading-relaxed">Flexible PTO schedule</li><li class="leading-relaxed">3 paid volunteer days per year</li><li class="leading-relaxed">Charitable contribution match</li><li class="leading-relaxed">Tuition reimbursement</li><li class="leading-relaxed">Free downtown parking</li><li class="leading-relaxed">Onsite gym</li><li class="leading-relaxed">Monthly wellness offerings</li><li class="leading-relaxed">Free snacks</li><li class="leading-relaxed">Monthly company updates with our CEO</li></ul>The annualized base pay range for this role is expected to be between $160,650 - $298,350 USD. Actual base pay could vary based on factors including but not limited to experience, geographic location where work will be performed and applicant’s skill set. The base pay is just one component of the total compensation package for employees. Other rewards may include an annual cash bonus, equity package and a comprehensive benefits package.Silicon Labs is an equal opportunity employer and values the diversity of our employees. Employment decisions are made on the basis of qualifications and job-related criteria without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status, or any other characteristic protected by applicable law.<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">About Us</h3>At Silicon Labs, we hire and empower great talent to achieve their full potential. By offering challenging projects, technical mentorship, and continuous learning opportunities, we ensure our employees thrive at every stage of their careers. Here, you’ll work alongside some of the industry’s brightest minds, tackling complex problems that deepen your expertise and expand your horizons. Whether you’re building new skills or shaping your career path, we’re dedicated to supporting your growth and celebrating your success every step of the way.Read More<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Recruitment Fraud Disclaimer</h3>Please note that our Company never asks for personal information unrelated to the job application process, such as bank or credit card data and never charges any fees to apply to any jobs. For more information please click here.

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Machine Learning Engineer III - Recommendation System

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Glance AI is seeking a Machine Learning Engineer III for its Recommendation System team in Bangalore. This role involves contributing to the design, development, deployment, testing, maintenance, and enhancement of ML software solutions. The engineer will collaborate with data scientists to support ML data pipelines, platforms, and infrastructure, focusing on end-to-end solutions for experimentation, model building, and creating microservices/APIs for ML models. The position requires an enthusiasm for tackling challenges and a passion for deep problem-solving.

Founded in 2019, Glance is a consumer internet company that has created highly disruptive digital platforms including Glance and Roposo. Glance has redefined the way internet is consumed on the lock screen, removing the need for searching and downloading apps. Over 400 million smartphones now come enabled with Glance’s next-generation internet experience. Roposo has revolutionized commerce by launching a destination for creator-led live entertainment commerce. Headquartered in Singapore, Glance is an unconsolidated subsidiary of InMobi Group and is funded by Jio Platforms, Google and Mithril Capital. &nbsp;Glance Lock Screen: Glance is one of Asia’s largest lock screen platforms. It enables consumers to experience the internet on the lock screens of their smartphones. Glance's AI-powered personalization enables consumers to enjoy content, products, and services of their choice, all delivered in an intuitive and visually attractive format on the lock screen of their smartphones. In Septmeber 2021, Glance also launched Glance LIVE on lockscreen, ushering in the LIVE internet era.&nbsp;Roposo: Roposo is India’s first creator-driven live entertainment commerce platform. It brings together creators, shopping and entertainment in a single destination. On Roposo, consumers shop live with hundreds of creators and on pop stores, from leading brands, across categories. With a vision to power the creator economy, Roposo endeavors to deliver its creators a range of unique entrepreneurial opportunities, through live entertainment and commerce. &nbsp;

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Designed to seamlessly integrate into everyday consumer technology, Glance AI reimagines the future of e-commerce with inspiration-led discovery and shopping.With an open architecture built for effortless adoption across hardware and software ecosystems, Glance AI is creating a platform that can become a staple in everyday consumer technology. It partners with the world’s leading smartphone makers, connected TV manufacturers, telecom providers, and global brands — meeting people where they are: on mobile, smart TVs, and brand websites.Through Glance AI’s rich first-party data and unparalleled consumer access, it harnesses InMobi’s global scale, insights, and targeting capabilities to create high-impact, performance-driven shopping journeys for brands worldwide. 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Nostra is the largest gaming platform in India and Southeast Asia, offering gamers engaging ways to discover, play, watch, learn and compete.Headquartered in Singapore, Glance is an unconsolidated subsidiary of InMobi Group and is funded by Jio Platforms, Google, and Mithril Capital. For more information visit glance.com, nostra.gg, and <a href="http://roposo.com/" target="_blank" rel="noopener noreferrer" class="text-blue-600 hover:text-blue-800 hover:underline transition-colors duration-200">roposo.com</a>What should you know about joining Glance?At Glance, we walk the talk – free yourself, dream big, and chase your passion! On joining, you’ll have opportunities to make an immediate impact on mission-critical projects, as you work with highly capable and ambitious peer groups.Be rewarded for your autonomy even as you collaborate. Ideate, innovate, and inspire by leveraging bleeding-edge tech to disrupt consumer experiences.While you work, we’ll take care of nourishing your body, mind, and soul. This includes daily meals, gym, trainings, tech tools, and regular unwind sessions. Also, feel free to bring your kids – even the furry ones – to the office!What you will be doing?Glance is looking for a Machine Learning Engineer.As an ML engineer you will be responsible for contributing to the design, development, deployment, testing, maintenance and enhancement of ML software solutions. You will work closely with data scientists to collaborate and support the development of ML data pipelines, platforms and infrastructure.Day-to-day activities include:<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">architecting and implementing end-to-end solutions for accelerating experimentation and model building,</li><li class="leading-relaxed">creation of microservices and APIs for serving ML models and ML services,</li><li class="leading-relaxed">designing and implementing potential products and proof-of-concepts,</li><li class="leading-relaxed">working closely with engineering, product, and newsroom teams to define and deploy new ML / AI products,</li><li class="leading-relaxed">exploring and onboarding new platforms, technologies and algorithms,</li><li class="leading-relaxed">managing project priorities, deadlines and deliverables. We are looking for candidates with an enthusiasm for tackling audacious challenges, the ability to take ownership of end-to-end solutions, and a passion for elegance in deep problem solving. Preferred Qualifications:</li><li class="leading-relaxed">Five+ years' experience working in a ML Engineering role with proven track record of delivering high-impact ML solutions.</li><li class="leading-relaxed">Bachelor’s degree, Master’s or PhD in computer science, Mathematics, Statistics, or other analytical fields</li><li class="leading-relaxed">Demonstrated ability to own end-to-end project delivery while maintaining transparent communication</li><li class="leading-relaxed">Hands-on experience and strong theoretical understanding of Recommender Systems.</li><li class="leading-relaxed">Experience working with Python, Golang, Spark or other open-source software with data science libraries</li><li class="leading-relaxed">Strong experience in advanced math and statistics</li><li class="leading-relaxed">Excellence in technical documentation and project leadership, with proven ability to drive results independently with cross-functional teams</li><li class="leading-relaxed">Experience with being actively engaged in data science or other research-oriented position.</li></ul>"_Glance collects and processes personal data such as your name, contact details, resume and other information that may contain personal data for the purpose of processing your application. Glance utilizes Greenhouse, a third-party platform. Please review Greenhouse's Privacy Policy to understand how the data collected from you is processed and managed. By clicking on 'Submit Application', you acknowledge and agree to the above privacy terms. Should you have any privacy concerns, you may contact us through the details mentioned in your application confirmation email."

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This assessment gives us an idea of your C++ skills- Companies that evaluate this skillset in interviews: Rockstar Games, Ubisoft, Mayhem Studios, etc.- 10 Multiple Choice questions- Average time to complete: 7 to 10 minutes

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Data Structures and Algorithms

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Programming Patterns

Let's assess your OOPs skills! ????- This assessment gives us an idea of your fundamental OOPS concepts and Solid principles skills- Companies that evaluate this skillset in interviews: Hitwicket, GSN Games, Tomo Club, etc.

Object Oriented Programming

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