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You and your team will help advance NVIDIA's leadership in applying deep learning to tackle real-world problems in the Autonomous Vehicle (AV) domain and other such embedded opportunities. Our work opens up new universes to explore, enables outstanding creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars.
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Products targets span HPC data centers, consumer electronics, autonomous platforms, AI/cloud solutions, and a variety of embedded/IOT platforms providing a rich and complex target space to exercise your skills.
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We are looking for a System Safety Engineer with automotive background in ADAS and/or autonomous driving. Experience with ADAS, autonomous systems and robotics. Prior work in either autonomous vehicles or ADAS.
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Essential Technical Architecture Expertise: Proven experience in defining and managing technical architecture for autonomous driving or vehicle systems, particularly at the software-vehicle interface i.e. advanced driver assistance systems (ADAS)Proven Leadership: At least 5 years in a leadership role within software development or embedded systems, including 3 years directly managing a software development team through all stages of the software lifecycle.
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On the Aurora Data Science team, you will join a world-class group whose mission is generating insights and intelligence to improve the Aurora Driver and help accelerate our path towards safe and broad commercialization of Autonomous Vehicle technology.
$216,000 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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As an electrical engineer on the avionics team, you will have the unique opportunity to shape the design of the first autonomous formation flying distributed satellite constellation. As an electrical engineer on the avionics team, you will have the unique opportunity to shape the design of the first autonomous formation flying distributed satellite constellation.
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Build, prototype, assemble, configure, and test autonomous development systems. Experience with autonomous vehicle sensor suite hardware and automotive mechanical and electrical systems is highly valued.
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We are looking for an experienced Senior Compiler Optimization Engineer for an exciting role in our Compute Compiler Team. We deliver features and improvements to CUDA and other compute compilers to better realize the potential of NVIDIA GPUs for a growing range of computational workloads, ranging from deep learning, scientific computation, and self-driving cars.
$339,250 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Waymo's Compute Team is tasked with a critical and exciting mission: We deliver the compute platform responsible for running the autonomous vehicle's software stack. Waymo is an autonomous driving technology company with the mission to be the most trusted driver.
$275,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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We are seeking a software engineer who has a strong grasp of robotics, perception, SW, localization, and mapping and who wants to develop and ship production level software to the next generation Level 2 autonomous solutions within Ford’s vehicle lineup.
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Gatik News: Gatik AI Website Tyson Foods Takes First Taste Of Autonomous With GatikForbes Cover featuring Gautam Narang 2023 The 10 most innovative companies in transportation of 2023 Gatik and Kroger multi-year commercial collaboration America’s Best Startup Employers of 2023 by Forbes America’s Best Startup Employers of 2022 by Forbes Gatik been named as a 2023 FreightTech 25 winner.
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Hands-on experiences in computer vision and deep learning, with work in at least two of the following areas: multimodal transformers, multimodal language models, diffusion models, NeRF, Gaussian splatting, object detection/segmentation, 3D scene understanding, sensor calibration, autonomous driving, SfM, voxel/BEV grid-based feature representation.
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As part of the System Build and Validation Team the Optical Systems Manufacturing Development Engineer is responsible for the construction of high performance fiber optic subsystem components including EDFA's, high speed optical timing, and polarization control modules.
$205,500 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Participate as the main engineer responsible for GPU and SoC ball-map development. If you're creative, autonomous and love a challenge, we want to hear from you! NVIDIA is looking for a Product Architect to help define & design GPU-based products and drive hardware/software feature improvements through collaboration with the CPU/SOC/DPU/SW teams.
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Development will be driven by the current scientific focus of SSRL with a primary focus on developing data analysis pipelines and autonomous control approaches for x-ray scattering, diffraction, absorption, and imaging problems.
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autonomous job Title: engineer development Company: Nvidia in Mountain View, CA
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With the advent of desktop computers, the arduous task of scouring through weekly job classifieds became a thing of the past. The mid-1990s brought about a new era where job seekers could easily search and apply for jobs online. The introduction of AOL's Instant Messaging feature provided an even faster means for employers and candidates to communicate and schedule interviews. As smartphones became more pervasive in the early 2000s, hiring managers increasingly used phone calls for screening and interviewing candidates. Despite this trend, over 80% of interviews still took place in person.
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One day it's a covert statement to a mother returning to work after maternity leave. Another day it's a lingering gaze at an employee enjoying a culturally rich meal. These microaggressions (or sometimes macroaggressions) can take an employee from a confident, high-performer to one that feels insecure being themselves at work. Your employees engage with people with different ideas and feel most comfortable and valued when they can work without losing their cultural, racial, and gender identity. While most employers know this, why have workplace racism and sexism often been neglected?
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As the job market remains highly competitive, we have seen a surge in "rage applying." This is when candidates apply to multiple jobs, often without considering whether they are truly interested in the role. Rage applying goes hand-in-hand with quiet quitting. Often, employees want to entertain the thoughts and feelings of leaving their job, but they aren't necessarily serious about leaving yet. Meanwhile, other employees engaging in this trend are actually trying to find a better role. As a recruiter, it can be hard to identify who are the real applicants in a sea full of quiet quitters, but understanding rage applying and identifying red flags will certainly help.
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In today's competitive job market, writing quality job ads is critical for attracting top talent to your organization. While networking and candidate referrals are prime real estate for finding qualified candidates, nothing beats the tried-and-true method of writing an extraordinary job ad. But while writing a great job ad is the first step, what's more important is increasing visibility. You could have the most detailed, well-written ad on the internet, but if no one sees it, then you are wasting time (and potentially money!). Employers often believe that job boards are the root of the problem, but you can learn how to increase job ad exposure by tweaking a few steps of your recruitment process.
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Building a Candidate Pipeline Through Internships
Building a candidate pipeline through a great internship program for local college students and recent graduates at local universities is a great and cost-effective way to attract and retain top talent. By offering meaningful and impactful work experiences, regular feedback, coaching, and mentorship, you can create a positive internship experience that will make your organization a sought-after destination for future employees. This not only benefits the organization in the short-term but also in the long-term, as you'll have a pool of well-trained and experienced candidates who may be interested in full-time employment once they graduate. Furthermore, building relationships with local universities and college students can increase brand awareness and build a positive reputation for your organization in the local community.