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Nio Jobs (NOW HIRING)

NIO designs, develops, manufactures and sells smart electric vehicles, driving innovations in next-generation core technologies. NIO distinguishes itself through continuous technological ...

Senior OS/Kernel Engineer

San Jose, CA · On-site

$150 - $200/hr

NIO is a pioneer and a leading company in the premium smart electric vehicle market. Founded in November 2014, NIO's mission is to shape a joyful lifestyle. NIO aims to build a community starting ...

AI Technical Lead

San Jose, CA · On-site

$200 - $250/hr

NIO is a pioneer and a leading company in the premium smart electric vehicle market. Founded in November 2014, NIO's mission is to shape a joyful lifestyle. NIO aims to build a community starting ...

NIO designs, develops, manufactures and sells smart electric vehicles, driving innovations in next-generation core technologies. NIO distinguishes itself through continuous technological ...

Paid Parental Leave for first 8 weeks at full pay (eligible after 90 days of employment with NIO)* Paid Disability Leave for first 6 weeks at full pay (eligible after 90 days of employment with NIO)

Expertise in Core Java with knowledge of multithreading, concurrency, memory management and NIO. Should have extensive experience in using concurrent package * Expertise in Enterprise Java or any ...

Relationship Development Manager

TX · Remote

$85K - $100K/yr

NIO Summit is strong. Nonprofit leaders read our studies, take our courses, and follow our work. The awareness is there, and we are looking for a dedicated person who wakes up every day focused on ...

Utilize zero-copy patterns and NIO (New I/O) for efficient data processing. * Implement and manage garbage collection (GC) strategies to minimize latency. * Develop and refine sequencer patterns for ...

Excellent knowledge in Core Java (Data Structures, Algorithms, I/O, NIO, Multi-Threading ) * Excellent knowledge of Spring Framework (Spring Boot, Spring MVC, Spring Integration & Spring batch are ...

... and NIO. Should have used concurrent package in detail. Expertise in Enterprise Java or any other server/client architectures with asynchronous or non-blocking request/response Knowledge on secure ...

Core Java Developer

Alpharetta, GA · On-site

$150 - $200/hr

Java I/O and NIO * Streams and lambda expressions * Java memory management * Garbage collection * Experience with Java 8 or later. * Strong understanding of data structures, algorithms, and design ...

Showing results 41-60

Nio information

See salary details

$42K

$94.9K

$155K

How much do nio jobs pay per year?

As of Sep 8, 2026, the average yearly pay for nio in the United States is $94,924.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,000.00 and $108,000.00 per year, depending on experience, location, and employer.

What is a nio?

Nio jobs refer to employment opportunities at Nio Inc., a leading Chinese electric vehicle (EV) manufacturer known for its innovative smart electric cars and technologies. Nio offers a wide range of roles, including engineering, design, software development, sales, marketing, and corporate positions. The company is focused on developing next-generation electric vehicles, battery swapping technology, and autonomous driving solutions. Working at Nio provides the chance to be a part of a fast-growing, forward-thinking company in the global EV industry. Employees often work in a dynamic, tech-driven environment with opportunities for career growth.

What are the key skills and qualifications needed to thrive as a NIO (Network Information Officer), and why are they important?

To thrive as a Network Information Officer, you need strong analytical abilities, information management skills, and typically a degree in information technology, computer science, or a related field. Familiarity with network monitoring tools, cybersecurity protocols, and database management systems is crucial. Attention to detail, problem-solving, and effective communication are standout soft skills in this role. These competencies ensure the protection, accuracy, and efficient flow of critical information across an organization's networks.

What are some common challenges faced by engineers working at Nio, and how does the company support their professional development?

Engineers at Nio often work on cutting-edge electric vehicle technology, which presents challenges such as rapid innovation cycles, tight project deadlines, and cross-functional collaboration with global teams. To support professional growth, Nio offers ongoing training programs, mentorship opportunities, and encourages participation in industry conferences. The company also fosters a collaborative work environment, enabling engineers to share knowledge and learn from peers across disciplines, which helps them stay current with emerging technologies and advance their careers.

What is the difference between Nio vs Data Analyst?

AspectNioData Analyst
Required CredentialsTypically a degree in engineering, computer science, or related fieldsBachelor's degree in statistics, computer science, or related fields
Work EnvironmentAutomotive manufacturing, R&D, and technology developmentBusiness, finance, healthcare, or tech industries analyzing data
Employer & Industry UsageAutomotive companies, EV industry, tech firmsVarious industries including finance, marketing, healthcare

While Nio focuses on automotive engineering and technology development, Data Analysts primarily interpret data to inform business decisions across multiple industries. Both roles require analytical skills and technical knowledge but differ in industry focus and daily tasks.

More about Nio jobs

What cities are hiring for Nio jobs?

Cities with the most Nio job openings:

What states have the most Nio jobs?

States with the most job openings for Nio jobs include:

Infographic showing various Nio job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, and 8% Contract. Highlights an 91% Physical, 4% Hybrid, and 5% Remote job distribution, with an average salary of $94,924 per year, or $45.6 per hour.

AI Technical Lead

NIO USA, INC

San Jose, CA • Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 days ago


Job description

About NIO

NIO Inc. is a pioneer and a leading company in the global smart electric vehicle market. Founded in November 2014, NIO aspires to shape a sustainable and brighter future with the mission of “Blue Sky Coming”.

NIO envisions itself as a user enterprise where innovative technology meets experience excellence. NIO designs, develops, manufactures and sells smart electric vehicles, driving innovations in next-generation core technologies. NIO distinguishes itself through continuous technological breakthroughs and innovations, exceptional products and services, and a community for shared growth.

NIO provides premium smart electric vehicles under the NIO brand, premium smart electric vehicles for families through the ONVO brand, and small smart high-end electric cars with the FIREFLY brand.

Responsibilities
  • Architect the Hybrid AI Vision: Lead the architectural design and strategic vision for hybrid inference systems, dynamically distributing Large Language Model (LLM) and Vision-Language Model (VLM) workloads across edge computing environments and cloud infrastructure.
  • Team Leadership & Innovation: Lead, mentor, and inspire a team of specialized engineers working across distributed systems orchestration, inference optimization, and AI compiler engineering. While you are not expected to be a hands-on master of every domain, you will drive the overarching technical roadmap, foster a culture of cutting-edge innovation, and guide domain experts in navigating complex system tradeoffs.
  • Design Dynamic Orchestration & Resilience: Oversee the architecture of high-availability orchestration engines that intelligently route inference tasks. Guide the team in developing cascading inference mechanisms, dynamic model fallback strategies, and robust telemetry to ensure continuous, steady-state inference under varying connectivity constraints.
Qualifications
  • Education & Experience: Ph.D. in Computer Science, Computer Engineering, Artificial Intelligence, or a related field with 8+ years of relevant industry experience (or Master’s degree with 12+ years), including proven experience leading technical teams or driving complex architectural roadmaps.
  • End-to-End Systems Leadership (T-Shaped Profile): Demonstrated capability to lead full-stack AI systems engineering. You possess deep, hands-on mastery in at least one or two of the following core domains, coupled with the comprehensive systemic breadth required to effectively lead engineers working across the others:
    • Distributed Systems & Hybrid Inference: Designing, scaling, and deploying production-grade distributed ML systems. Balancing cloud infrastructure with edge constraints using modern routing paradigms, such as cascading inference architectures and semantic routing.
    • Algorithmic & Inference Optimization: Proven experience optimizing state-of-the-art LLM/VLM inference pipelines. Deep understanding of model compression (e.g., PTQ, QAT, AWQ, FP8/INT4), hardware-aware compute optimizations (e.g., FlashAttention), and advanced memory management (e.g., PagedAttention, KV cache compression/eviction).
    • Advanced Systems & Compiler Engineering: C++ and production-grade Python proficiency. Deep understanding of edge/cloud model-serving frameworks (e.g., vLLM, TensorRT-LLM, ExecuTorch, MLC-LLM) and AI compilers (e.g., MLIR, Apache TVM, Triton) for compute graph optimization and custom kernel development.

Preferred Qualifications

  • Privacy & Security: Deep understanding of privacy-preserving AI techniques (federated learning, differential privacy, secure enclaves) essential for processing sensitive data across edge and cloud environments.
  • Community Engagement & Open Source: Publications in relevant AI, ML, or systems conferences (e.g., NeurIPS, ICML, MLSys), or active contributions to open-source ML infrastructure projects (e.g., vLLM, ONNX Runtime, Apache TVM, llama.cpp).
Benefits

Along with competitive pay, as a full-time NIO employee, you are eligible for the following benefits on the first day you join NIO:

  • Anthem Blue Cross, HSA, and Kaiser HMO medical plans with $0 for Employee Only Coverage.  
  • Dental (including orthodontic coverage) and vision plan.  Both provide options with a $0 paycheck contribution covering you and your eligible dependents.
  • Company Paid HSA (Health Savings Account) Contribution when enrolled in the High Deductible Anthem Blue Cross medical plan
  • Healthcare and Dependent Care Flexible Spending Accounts (FSA)
  • 401(k) with Brokerage Link option
  • Company paid Basic Life, AD&D, short-term and long-term disability insurance
  • Employee Assistance Program
  • Sick and Vacation time
  • 13 Paid Holidays a year
  • Paid Parental Leave for first 8 weeks at full pay (eligible after 90 days of employment with NIO)
  • Paid Disability Leave for first 6 weeks at full pay (eligible after 90 days of employment with NIO)
  • Voluntary benefits including: Voluntary Life and AD&D options for you, your spouse/domestic partner and dependent child(ren), pet insurance
  • Commuter benefits
  • Mobile Cell Phone Credit
  • Free lunch and snacks
  • Onsite gym
  • Employee discounts and perks program
Compensation
The US base salary range for this full-time position is $192,100.00 - $249,600.00.
  • Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

  • Please note that the compensation details listed in US role postings reflect the base salary only. It does not include discretionary bonus, equity, or benefits.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.