Full-Time
Senior Software Engineer
AI/ML Platform
Posted on 5/9/2026
Autodesk
10,001+ employees
Design software, engineering, and entertainment solutions
No salary listed
Pune, Maharashtra, India
Hybrid
 Software Engineering (1) |
|---|
- Educational Background: BS or MS in Computer Science, or equivalent practical experience
- Experience: 5+ years of experience in software development and engineering, with a solid record of delivering production systems and services
- Expertise in AI/ML Technologies: Hands-on experience with AI/ML frameworks (such as TensorFlow, PyTorch) and familiarity with the lifecycle of AI/ML model development, from training to deployment
- Proficiency in Programming Languages: Strong coding skills in languages commonly used in AI/ML and system development, such as Python
- Experience with Cloud Technologies: Experience with designing and managing systems on hybrid cloud architectures, including working knowledge of cloud service providers like Azure
- Knowledge of Containerization and Orchestration Tools: Familiarity with containerization technologies (e.g., Docker) and orchestration systems (e.g., Kubernetes)
- Understanding of DevOps Practices: Knowledge of CI/CD pipelines, infrastructure as code, and other DevOps practices
- System Performance Optimization: Deep understanding of performance metrics and latency optimization techniques, with the ability to diagnose, tune, and enhance the efficiency of serving systems
- Design and Implement Scalable AI/ML Serving Systems: Develop scalable and efficient systems for serving AI/ML models, ensuring that these systems can handle varying loads and perform with low latency across diverse environments
- Hybrid Cloud Architecture Management: Architect and manage a hybrid cloud environment that uses both on-premises resources and multiple cloud platforms (e.g., AWS, Azure, GCP) to optimise performance, cost, and scalability
- Model Deployment and Versioning: Oversee the deployment of AI/ML models into production, including the setup of CI/CD pipelines for model deployment and versioning, ensuring smooth and reliable model updates and rollbacks
- Performance Monitoring and Optimization: Implement monitoring tools and practices to track the performance of AI/ML models in production, identifying bottlenecks and optimizing system and model performance for better efficiency and reduced costs
- Security and Compliance: Ensure that the AI/ML serving systems follow industry standards and regulatory requirements for data security and privacy, including the management of data encryption, access controls, and audit trails
- Collaboration and Leadership: Work closely with AI/ML researchers, data engineers, and other partners to translate complex AI/ML models into production-ready systems, providing technical guidance throughout the project lifecycle
- Research and Innovation: Stay informed about the latest developments in AI/ML technologies, cloud computing, and software engineering practices, exploring and integrating solutions that can enhance the capabilities and efficiency of the AI/ML serving platform
- Cloud Certifications: Certifications in cloud technologies from major providers (AWS Certified Solutions Architect, Google Cloud Professional Cloud Architect, Microsoft Certified: Azure Solutions Architect Expert)
- Experience with Big Data Technologies: Experience with big data technologies and ecosystems (Hadoop, Spark, Kafka)
- AI/ML Model Monitoring Tools: Familiarity with tools and frameworks for monitoring and managing the performance of AI/ML models in production (MLflow, Kubeflow, TensorBoard)
- Prior experience of on-call rotation for tier-1 services with 24x7 support mechanism
Autodesk produces software for design, engineering, and entertainment work. Its products help professionals create, plan, simulate, and manage projects—from buildings and manufactured parts to films and games—using licenses, subscriptions, and cloud-based tools. Users interact with Autodesk software by running design and modeling tools, collaborating online, and leveraging cloud services for storage, rendering, and project management. What sets Autodesk apart is its broad, integrated product ecosystem across architecture, engineering, construction, manufacturing, and media, along with ongoing cloud-based features, strategic acquisitions, and professional services that extend its capabilities. The company also pursues social impact and sustainability programs. The overall goal is to help customers design and deliver better projects more efficiently and creatively while expanding access to cloud-enabled workflows and sustainable practices.
Company Size
10,001+
Company Stage
IPO
Headquarters
San Francisco, California
Founded
1982
Simplify's Take
What believers are saying
- AI add-ons like AutoConstrain achieve 60% user acceptance for tiered billing.
- Small Business initiative targets firms growing 35% faster than market.
- FY2027 revenue guidance hits $8.1-8.17 billion with $10 billion by 2029.
What critics are saying
- Generative AI from OpenAI undercuts 3D moat, compressing AutoConstrain prices in 18 months.
- 46.5x P/E collapses if growth dips below 11.4% annually through 2029.
- Rhumbix fails against SAP and Oracle bundling in 18 months.
What makes Autodesk unique
- Autodesk's proprietary 3D design data creates unreplicable AI advantages.
- Integrated BIM via Revit and CAD/CAM/CAE via Fusion enable cloud collaboration.
- Rhumbix acquisition connects real-time jobsite data to construction costs.
Help us improve and share your feedback! Did you find this helpful?
Your Connections
People at Autodesk who can refer or advise you
Benefits
Paid Vacation
Flexible Work Hours
Hybrid Work Options
Professional Development Budget
Company News
Wix.com and Autodesk are trading at significant discounts as software stocks face pressure from fears of AI disruption, despite limited evidence in their financial results. Wix has fallen over 80% from its highs amid concerns that AI tools will replace website-building platforms. However, the company has developed its own AI website-building capabilities and acquired Base44, an AI mobile application builder that reached $100 million in annual recurring revenue in under a year. Revenue grew 14% year over year last quarter whilst maintaining healthy free cash flow margins. The stock trades at just six times trailing free cash flow. Autodesk, a leader in engineering and design software, has also experienced a sharp drawdown despite staying out of AI headlines. Both companies appear oversold relative to their actual business performance.
Autodesk has attracted investor attention following technical indicators suggesting a potential trend reversal, whilst Morgan Stanley reiterated its Overweight rating citing stable billings and demand visibility. The software company's improving chart momentum and analyst confidence come against a backdrop of recent financial guidance. Management projected fiscal 2027 revenue of $8.1 billion to $8.17 billion with GAAP operating margins of 26% to 28%. The company's narrative anticipates $10 billion in revenue and $2.4 billion in earnings by 2029, requiring 11.4% annual revenue growth. However, investors face risks from AI-enabled competitors advancing in generative design. The most optimistic analysts project $10.3 billion in revenue and $2.6 billion in earnings by 2029, above consensus estimates, as markets reassess Autodesk's AI monetisation potential.
Autodesk has completed its acquisition of Rhumbix, a construction technology company that captures real-time jobsite data to improve cost visibility and project decision-making. Financial terms were not disclosed. Autodesk said many construction teams lose cost control not from poor estimates, but from delayed visibility into field activity. Traditional financial systems are backward-looking, with labor and materials data appearing in reports only after work is completed. Rhumbix's platform enables field teams to capture data once and use it across multiple processes, supporting labor tracking, production monitoring, time-and-materials documentation and daily reporting. The integration aims to connect real-time field data with downstream systems, reducing fragmentation and enabling proactive rather than reactive project management. The acquisition strengthens Autodesk's effort to connect workflows across the construction lifecycle.
Autodesk shares closed at $247.44 following mixed recent performance, with a 9% gain over 30 days but a 17% decline over 90 days. The software company generates $7.2 billion in annual revenue and $1.1 billion in net income. The most popular valuation narrative suggests Autodesk is 25% undervalued, with a fair value of $331.75 per share. This view relies on accelerating adoption of cloud-based platforms like Autodesk Construction Cloud and Fusion 360, alongside the shift to subscription and SaaS models driving recurring revenue and margin improvements. However, the company trades at a price-to-earnings ratio of 46.5 times, significantly above the US software industry average of 29.9 times, suggesting potential valuation risk if growth expectations moderate.
Bay Area tech companies including Meta, Autodesk, Salesforce, Workday, Google, Pinterest and Block have announced layoffs since early 2026. Industry experts attribute the cuts to overhiring in recent years, economic uncertainty, high interest rates and reduced foreign investment, rather than solely AI-driven efficiencies. Ryan Miller from Employment Boost says most laid-off workers find new roles within three to six months, though some searches extend to a year. Companies are also offering less generous severance packages. The job market has become more selective, with firms no longer hiring at previous rates. The financial impact can be severe for Bay Area residents, where California's maximum weekly unemployment benefit of $450 represents a significant drop from typical tech salaries. With benefits lasting only 26 weeks, workers should monitor company earnings reports and internal communications for warning signs.