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Onsite in Foster City, CA | at least 3 days onsite The Perception team is looking for a machine learning engineer to develop cutting-edge Computer Vision modules to enhance on-board perception of robots fleet, directly impacting safety and fleet efficiency. In this role, the ideal candidate will work on the full design and development cycle, including data collection, data set creation, machine learning models design and implementation. Responsibilities: Design and develop in-cabin Computer Vision ML modules for safety critical perception and monitoring applications Implement Perception model architectures and sophisticated training techniques Build high quality datasets leveraging all the inputs from our sensor stack and the overall large scale data. Validate and optimize your solutions using real-world driving scenarios, directly contributing to the safety and reliability of our autonomous system Qualifications: Bachelor's Degree in Computer Science and/or Computer Engineering with 4+ years of experience Modern Computer Vision and Machine Learning background, specifically on 3D reconstruction, detection, classification, semantic segmentation Experience with training and deploying Deep Learning models Background in C++ and/or python Excellent communication skills Bonus Qualifications: Experience with any of the following: Self-driving industry experience Experience delivering ML model integration in latency-sensitive systems Experience with CUDA code Health Care Plan (Medical, Dental & Vision) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Training & Development Retirement Plan (401k, IRA) Apply To this Job Company : Vertex Sigma Software Salary : Work from home .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.