Resume and JobRESUME AND JOB
Autodesk logo

Principal Core Services Engineer(AI/ML Focus)

Autodesk

Software and Technology Jobs

Principal Core Services Engineer(AI/ML Focus)

full-timePosted: Dec 11, 2025

Job Description

Principal Core Services Engineer(AI/ML Focus)

📋 Job Overview

The Principal Core Services Engineer (AI/ML Focus) at Autodesk leads the development and optimization of core infrastructure services with a strong emphasis on AI and machine learning technologies. This role involves architecting scalable systems, integrating ML models into cloud services, and collaborating with cross-functional teams to drive innovation in Autodesk's product ecosystem. The position requires deep expertise in distributed systems and AI to ensure high-performance, reliable services supporting Autodesk's design and engineering software.

📍 Location: Bengaluru

📅 Posted: Posted 30+ Days Ago

🎯 Key Responsibilities

  • Design and implement scalable core services for AI/ML workloads
  • Optimize infrastructure for machine learning model training and inference
  • Collaborate with product teams to integrate AI capabilities into Autodesk platforms
  • Lead code reviews, mentor junior engineers, and drive technical best practices
  • Troubleshoot and resolve complex performance issues in production environments

✅ Required Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field
  • 10+ years of experience in software engineering with focus on core services and infrastructure
  • Proven experience in AI/ML system design and deployment
  • Strong background in cloud computing and distributed systems

⭐ Preferred Qualifications

  • PhD in AI, Machine Learning, or related discipline
  • Experience with Autodesk products or similar CAD/BIM software
  • Contributions to open-source AI/ML projects
  • Leadership experience in agile teams

🛠️ Required Skills

  • Proficiency in Python, Java, or C++ for backend development
  • Expertise in AI/ML frameworks like TensorFlow, PyTorch, or scikit-learn
  • Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes)
  • Knowledge of distributed computing, microservices, and RESTful APIs
  • Strong problem-solving and communication skills
  • Familiarity with data pipelines, ETL processes, and big data tools (Spark, Hadoop)

🎁 Benefits & Perks

  • Competitive salary and performance bonuses
  • Comprehensive health and wellness programs
  • Flexible work arrangements and remote options
  • Professional development opportunities and tuition reimbursement
  • Employee stock purchase plan and retirement savings

Locations

  • Bengaluru, India

Salary

Estimated Salary Rangemedium confidence

3,500,000 - 5,500,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Proficiency in Python, Java, or C++ for backend developmentintermediate
  • Expertise in AI/ML frameworks like TensorFlow, PyTorch, or scikit-learnintermediate
  • Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes)intermediate
  • Knowledge of distributed computing, microservices, and RESTful APIsintermediate
  • Strong problem-solving and communication skillsintermediate
  • Familiarity with data pipelines, ETL processes, and big data tools (Spark, Hadoop)intermediate

Required Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field (experience)
  • 10+ years of experience in software engineering with focus on core services and infrastructure (experience)
  • Proven experience in AI/ML system design and deployment (experience)
  • Strong background in cloud computing and distributed systems (experience)

Preferred Qualifications

  • PhD in AI, Machine Learning, or related discipline (experience)
  • Experience with Autodesk products or similar CAD/BIM software (experience)
  • Contributions to open-source AI/ML projects (experience)
  • Leadership experience in agile teams (experience)

Responsibilities

  • Design and implement scalable core services for AI/ML workloads
  • Optimize infrastructure for machine learning model training and inference
  • Collaborate with product teams to integrate AI capabilities into Autodesk platforms
  • Lead code reviews, mentor junior engineers, and drive technical best practices
  • Troubleshoot and resolve complex performance issues in production environments

Benefits

  • general: Competitive salary and performance bonuses
  • general: Comprehensive health and wellness programs
  • general: Flexible work arrangements and remote options
  • general: Professional development opportunities and tuition reimbursement
  • general: Employee stock purchase plan and retirement savings

Target Your Resume for "Principal Core Services Engineer(AI/ML Focus)" , Autodesk

Get personalized recommendations to optimize your resume specifically for Principal Core Services Engineer(AI/ML Focus). Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Principal Core Services Engineer(AI/ML Focus)" , Autodesk

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

AutodeskBengaluruTechnologySoftware

Answer 10 quick questions to check your fit for Principal Core Services Engineer(AI/ML Focus) @ Autodesk.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.

Autodesk logo

Principal Core Services Engineer(AI/ML Focus)

Autodesk

Software and Technology Jobs

Principal Core Services Engineer(AI/ML Focus)

full-timePosted: Dec 11, 2025

Job Description

Principal Core Services Engineer(AI/ML Focus)

📋 Job Overview

The Principal Core Services Engineer (AI/ML Focus) at Autodesk leads the development and optimization of core infrastructure services with a strong emphasis on AI and machine learning technologies. This role involves architecting scalable systems, integrating ML models into cloud services, and collaborating with cross-functional teams to drive innovation in Autodesk's product ecosystem. The position requires deep expertise in distributed systems and AI to ensure high-performance, reliable services supporting Autodesk's design and engineering software.

📍 Location: Bengaluru

📅 Posted: Posted 30+ Days Ago

🎯 Key Responsibilities

  • Design and implement scalable core services for AI/ML workloads
  • Optimize infrastructure for machine learning model training and inference
  • Collaborate with product teams to integrate AI capabilities into Autodesk platforms
  • Lead code reviews, mentor junior engineers, and drive technical best practices
  • Troubleshoot and resolve complex performance issues in production environments

✅ Required Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field
  • 10+ years of experience in software engineering with focus on core services and infrastructure
  • Proven experience in AI/ML system design and deployment
  • Strong background in cloud computing and distributed systems

⭐ Preferred Qualifications

  • PhD in AI, Machine Learning, or related discipline
  • Experience with Autodesk products or similar CAD/BIM software
  • Contributions to open-source AI/ML projects
  • Leadership experience in agile teams

🛠️ Required Skills

  • Proficiency in Python, Java, or C++ for backend development
  • Expertise in AI/ML frameworks like TensorFlow, PyTorch, or scikit-learn
  • Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes)
  • Knowledge of distributed computing, microservices, and RESTful APIs
  • Strong problem-solving and communication skills
  • Familiarity with data pipelines, ETL processes, and big data tools (Spark, Hadoop)

🎁 Benefits & Perks

  • Competitive salary and performance bonuses
  • Comprehensive health and wellness programs
  • Flexible work arrangements and remote options
  • Professional development opportunities and tuition reimbursement
  • Employee stock purchase plan and retirement savings

Locations

  • Bengaluru, India

Salary

Estimated Salary Rangemedium confidence

3,500,000 - 5,500,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Proficiency in Python, Java, or C++ for backend developmentintermediate
  • Expertise in AI/ML frameworks like TensorFlow, PyTorch, or scikit-learnintermediate
  • Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes)intermediate
  • Knowledge of distributed computing, microservices, and RESTful APIsintermediate
  • Strong problem-solving and communication skillsintermediate
  • Familiarity with data pipelines, ETL processes, and big data tools (Spark, Hadoop)intermediate

Required Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field (experience)
  • 10+ years of experience in software engineering with focus on core services and infrastructure (experience)
  • Proven experience in AI/ML system design and deployment (experience)
  • Strong background in cloud computing and distributed systems (experience)

Preferred Qualifications

  • PhD in AI, Machine Learning, or related discipline (experience)
  • Experience with Autodesk products or similar CAD/BIM software (experience)
  • Contributions to open-source AI/ML projects (experience)
  • Leadership experience in agile teams (experience)

Responsibilities

  • Design and implement scalable core services for AI/ML workloads
  • Optimize infrastructure for machine learning model training and inference
  • Collaborate with product teams to integrate AI capabilities into Autodesk platforms
  • Lead code reviews, mentor junior engineers, and drive technical best practices
  • Troubleshoot and resolve complex performance issues in production environments

Benefits

  • general: Competitive salary and performance bonuses
  • general: Comprehensive health and wellness programs
  • general: Flexible work arrangements and remote options
  • general: Professional development opportunities and tuition reimbursement
  • general: Employee stock purchase plan and retirement savings

Target Your Resume for "Principal Core Services Engineer(AI/ML Focus)" , Autodesk

Get personalized recommendations to optimize your resume specifically for Principal Core Services Engineer(AI/ML Focus). Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Principal Core Services Engineer(AI/ML Focus)" , Autodesk

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

AutodeskBengaluruTechnologySoftware

Answer 10 quick questions to check your fit for Principal Core Services Engineer(AI/ML Focus) @ Autodesk.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.