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At Sonatus, we’re driving the transformation to AI-enabled software-defined vehicles. Traditional automotive software methods can’t keep pace with consumer expectations shaped by the mobile industry—where features evolve rapidly, update seamlessly, and improve continuously. That’s why leading OEMs trust Sonatus to accelerate this shift. Our technology is already in production across more than 8 million vehicles on the road today and rapidly expanding. Headquartered in Sunnyvale, CA, with 250+ employees worldwide, Sonatus combines the agility of a fast-growing company with the scale and impact of an established partner. Backed by strong funding and proven by global deployment, we’re solving some of the most interesting and complex challenges in the industry. Join us and help redefine what’s possible as we shape the future of mobility. The Opportunity: Sonatus is seeking a highly motivated Staff AI Engineer with expertise in data analytics and modeling to build AI-based software for next-generation AI-driven software-defined vehicles. You will be critical in accelerating software innovations that solve complex, real-world customer problems. Responsibilities: Lead end-to-end data exploration, analytics, and modeling on large-scale, multi-source data to uncover insights and drive business outcomes. Architect, design, develop, and deploy optimized data analytics algorithms, models, and solutions. Drive the development of agentic AI applications leveraging data processing and analytics pipelines. Requirements: In-depth theoretical and practical knowledge of a wide range of Data Science and Machine Learning algorithms, including Deep Learning (e.g., CNNs, RNNs, Transformers) and Reinforcement Learning. Strong Python programming skills with extensive experience using data analysis and ML frameworks and libraries. Proven experience in designing, training, tuning, and evaluating diverse machine learning models, including LLMs, computer vision, and time series analysis. Expertise in data preprocessing, feature engineering, and advanced model evaluation techniques (e.g., A/B testing, causal inference). Preferred: Master’s or PhD in a Science or Engineering field. Experience in building and maintaining scalable, big data applications in a cloud environment. Benefits Offered: Competitive compensation and equity program Health care plan (Medical, Dental & Vision) Flexible and Dependent Care Expense program Retirement plan (401k) Life Insurance (Basic, Voluntary & AD&D) Unlimited paid time off per year, 15 paid holidays Hybrid office work arrangement/flexibility Perk Offerings include: Complimentary lunches, snacks, and beverages during on-site working days Wellness benefit allowances (towards gym membership and fitness programs) Internet reimbursement Computer Accessory Allowance Employee Engagement Offerings: Departmental team building and outings Employee Referral Program Culture/Employee Satisfaction Surveys - Feedback matters! The posted salary range is a general guideline and represents a good faith estimate of what Sonatus ("Company") could reasonably expect to pay for a base salary for this position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, geographic location and external market pay for comparable jobs. The Company reserves the right to modify this range in the future, as needed, as market conditions change. Base Salary Pay Range $188,000 — $300,000 USD
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.
