BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:America/Chicago
X-LIC-LOCATION:America/Chicago
BEGIN:DAYLIGHT
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
TZNAME:CDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
TZNAME:CST
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20260202T201221Z
LOCATION:Hall 6
DTSTART;TZID=America/Chicago:20251117T161900
DTEND;TZID=America/Chicago:20251117T161900
UID:submissions.supercomputing.org_SC25_sess553_job170@linklings.com
SUMMARY:Senior Manager, Robotics Quality Assurance
DESCRIPTION:We are looking for a Senior Manager, Robotics Quality Assuranc
 e to join our SW QA team! You will part of a team that drives all Quality 
 and Innovation for the Nvidia Robotics team! You’ll create engineering pro
 cesses and build relationship bridges to ensure that the highest industry 
 standards are met.\n\nWhat you'll be doing:\n\nDefine and drive the overal
 l test engineering strategy for our robotics products, establishing an eng
 ineering-focused approach to quality encompassing design for scalable test
  frameworks, tools, and methodologies and lead product testing and enginee
 ring efforts across a full-stack robotics solution\n\nDeliver test automat
 ion development for “On-Robot Hardware & Software” and embedded software r
 unning on our NVIDIA Jetson AGX Thor platform encompassing sensor integrat
 ion validation, real-time performance, and low-level control systems.\n\nA
 rchitect and implement rigorous test plans to validate “AI Foundation mode
 ls”, like Isaac GR00T, focused on performance, safety, and reliability in 
 real-world scenarios. This involves testing model outputs, identifying edg
 e cases, and ensuring robustness.\n\nBuild and maintain the test infrastru
 cture within our “Simulation & Digital Twins” environments, Isaac Sim and 
 Isaac Lab, developing automated tests verifying physics engine accuracy an
 d the transferability of learned policies from simulation to the real robo
 t.\n\nOversee test automation development for the full “Robotics Software 
 Stack”, including Isaac ROS, and its integration with other robotic compon
 ents.\n\nArchitect, build, and maintain the test infrastructure for a huma
 noid reference platform showcasing the power of NVIDIA's technology and de
 velop testing methodologies bridging the "sim-to-real" gap, creating a con
 tinuous feedback loop between virtual and physical testing.\n\nYou'll lead
  the design of complex test scenarios in Isaac Sim/Lab that use generative
  AI to stress-test robot policies, ensuring that models trained in simulat
 ion (using Isaac GR00T) perform reliably on real physical hardware.\n\nLea
 d design of complex test scenarios in Isaac Sim/Lab that use generative AI
  to stress-test robot policies, ensuring that models trained in simulation
  (using Isaac GR00T) perform reliably on real physical hardware.\n\nWhat w
 e need to see:\n\nB.S. or equivalent experience in Mechanical/Electrical/C
 omputer Engineering or related field (or equivalent experience)\n\n12+ ove
 rall years aligned Hardware Engineering experience w 3+ years of demonstra
 ble experience in QA involving Robotics or Hardware Engineering\n\n5+ year
 s of leading a team\n\nProficiency with AI Tools such as Cursor, Github Co
 pilot, Perplexity, and ChatGPT\n\nExperience in with ML and training /test
 ing Robotics Models\n\nFleet management, telemetry and debug, along with m
 anaging demo’s\n\nEngage closely with a range of cross functional teams in
 cluding project management, hardware and software developers, and routinel
 y share statistical data reports with all customers, including Top-5.\n\nA
 bility to translate organizational goals to QA deliverables\n\nStrong prob
 lem solving and analytical skills with excellent communication skills\n\nW
 ays to stand out from the crowd:\n\nIncorporating Vision-Language Models (
 VLMs) -Designing, developing, and deploying robots that can understand and
  respond to both visual and linguistic inputs, enabling them to perform co
 mplex tasks through natural language commands and visual scene interpretat
 ion\n\nTeleoperation – Manipulation and setting up data collection labs\n\
 nFluent in scripting in Python\n\nYour base salary will be determined base
 d on your location, experience, and the pay of employees in similar positi
 ons. The base salary range is 216,000 USD - 345,000 USD.\nYou will also be
  eligible for equity and benefits.\n\nRegistration Category: Technical Pro
 gram Reg Pass, Workshop Reg Pass, Tutorial Reg Pass, Exhibits Reg Pass\n\n
 Country: United States of America\n\nCompany: NVIDIA Corporation\n\nIn-Per
 son / Remote: In-person\n\nPart Time / Full Time: Full Time\n\nPosition Ty
 pe: Permanent\n\n
END:VEVENT
END:VCALENDAR
