Intelligent Driving Platform Software Development Engineer Job at Mercedes-Benz AG (Beijing)

Platform Engineer, Document Intelligence

Platform engineering at Hebbia is about excellent, scalable enablement. You are ...

Location

United States , New York City; San Francisco

Salary:

160000.00 - 300000.00 USD / Year

Hebbia

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. A strong academic background with coursework in data structures, algorithms, and software development is preferred
5+ years software development experience at a venture-backed startup or top technology firm, with a focus on distributed systems and platform engineering
Proficiency in building backend and distributed systems using technologies such as Python, Java, or Go
Deep understanding of scalable system design, performance optimization, and resilience engineering
Extensive experience with cloud platforms (e.g., AWS)
Working experience with one or more of the following: Kafka, ElasticSearch, PostgreSQL, and/or Redis
Knowledge of workflow orchestration and execution platforms like Airflow, Temporal or Prefect
Proven experience enabling observability patterns
Ability to analyze complex problems, propose innovative solutions, and effectively communicate technical concepts to both technical and non-technical stakeholders
Proven experience in leading software development projects and collaborating with cross-functional teams. Strong interpersonal and communication skills to foster a collaborative and inclusive work environment

Job Responsibility

Own critical system components: Take complex requirements and turn them into robust, scaled solutions that solve real customer needs
Unlock O(1) universal indexing: Build and iterate on our high-scale document build system that enables constant time latency for indexing any content in the world, regardless of data volume
Drive performance optimization: Architect and implement performance-tuning solutions to ensure our systems operate efficiently at scale, minimizing latency and maximizing throughput across millions of documents
Mentor and guide: Provide technical leadership, mentorship, and guidance to junior engineers, fostering a culture of learning and growth

What we offer

PTO: Unlimited
Insurance: Medical + Dental + Vision + 401K
Eats: Catered lunch daily + doordash dinner credit if you ever need to stay late
Parental leave policy: 3 months non-birthing parent, 4 months for birthing parent
Fertility benefits: $15k lifetime benefit
New hire equity grant: competitive equity package with unmatched upside potential

Fulltime

Senior Software Engineer, Backend (Voice Platform)

At Cresta, the Voice Platform team is on a mission to transform real-time voice ...

Location

Romania , Bucharest

Salary:

Not provided

Cresta

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science or related field
5+ years of experience in backend system development, distributed systems, or cloud infrastructure
Expertise in Go (or a similar systems language) with strong API and service design skills
Proven experience with scalable architectures using microservices, workflow orchestration, distributed caching, and cloud databases
Strong knowledge of Kubernetes, Docker, and modern cloud infrastructure
Solid understanding of networking, real-time communication protocols, and cloud security best practices
Demonstrated ability to lead complex technical projects from design through production

Job Responsibility

Lead the design and development of scalable, distributed backend microservices in Golang (with some Python for AI-related services)
Own and evolve voice platform integrations with large-scale enterprise communication and contact center systems
Drive initiatives to expand platform capabilities, including bi-directional SIP, WebRTC integrations, multilingual support, advanced transcription, and real-time translation
Build systems that power conversation intelligence for both remote and in-person interactions
Improve observability, reliability, and self-service troubleshooting across the platform
Ensure performance, scalability, and resilience of real-time voice pipelines running in the cloud
Collaborate with cross-functional teams (ML, product, solution architects) to design end-to-end solutions for customer deployments
Provide technical guidance, mentorship, and best practices to other engineers on the team

What we offer

Compensation for this position includes a base salary, equity, and a variety of benefits

Sr Engineers, Software

T-Mobile is America’s supercharged Un-carrier, delivering an advanced 4G LTE and...

Location

United States , Frisco

Salary:

131300.00 - 177700.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

Master's degree in Computer Science, Electrical Engineering, or related, and 1 year of relevant work experience
Bachelor's degree in Computer Science, Electrical Engineering, or related, and 3 years of relevant work experience
Developing high performance, scalable Business Intelligence Extract-Transform-Load pipelines using ETL tools and scripting, including Unix Shell Scripting, BTEQ Scripting, Oracle SQL Scripting
Performing PL/SQL and SQL queries, data analysis, creation of stored procedures, and validation of revenue for prepaid or postpaid data in Teradata and Oracle Databases that is capable of processing at least 4 million transactions per day
Monitor and optimize the performance of ETL processes, including query performance and data load times, identify and resolve performance bottlenecks
On premise Teradata to Snowflake cloud database migration using modern technology stack – Snowflake, Azure Data Factory, Liquibase data model deployments, dbt for transformations, jinja scripting, Gitlab for code management and DevOps CICD
Coding in a DevOps environment with Gitlab within a SCRUM framework to deliver Continuous Integration Continuous Delivery automations for market growth
Creating and scheduling daily ETL jobs using Control M to process previous-day files using the provided reference and transactional postpaid or prepaid data for revenue recognition. Posting accurate financial results to SAP following SOX controls and audit check mechanisms

Job Responsibility

Analyze user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis
Develop and automate large scale, high-performance ETL processes and data pipelines to drive Data Standardization and reporting utilizing Azure Technologies
Possess ability to effectively communicate with non-technical business customers and other stakeholders regarding design, requirements, functionality, and limitations of systems/applications
Possess ability to clearly articulate platform options and risks to non-technical team members
Contribute to a team that is responsible for the design, development, and launch of Accounting & Finance capabilities
Help translate business and functional requirements into well documented technical specifications and user stories
Utilize development skills to build (code) and unit test new systems functionality per technical specifications, with deliverables to include code builds and documented unit test results
Collaborate with other teams including Accounting & Finance Business Partners, Enterprise Testing, Release Planning and Management, Project Management, and Product Operations on successful delivery of product enhancements and support
Maintain technical skills and expertise through continuing education and training

What we offer

Competitive base salary and compensation package
Annual stock grant
Employee stock purchase plan
401(k)
Access to free, year-round money coaches
Medical, dental and vision insurance
Flexible spending account
Paid time off
Up to 12 paid holidays
Paid parental and family leave

Fulltime

Staff Software Engineer, Backend

The Staff Engineer will work closely with AI/ML engineers, product managers, app...

Location

United States , NYC

Salary:

160000.00 - 190000.00 USD / Year

Conductor

Expiration Date

Until further notice

Requirements

Completed studies in Computer Science, Mathematics, engineering or a related field or equivalent professional experience
8+ years of experience in software development, with experience in product-driven companies
Strong expertise in system design, distributed computing, and scalable architecture patterns for handling large datasets and high-throughput applications
Proficiency in multiple programming languages with strong Python coding skills. Experience with Java is highly valued
Strong database experience including both SQL and NoSQL systems, with knowledge of data modeling and optimization techniques
Experience with AI/ML technologies including LLMs, vector databases (e.g., Milvus), embeddings, and ML frameworks
Knowledge of MLOps practices, model deployment, and AI system integration in production environments
Experience working across the full software development lifecycle including CI/CD, monitoring, testing, and production deployment
Proven track record of technical leadership, mentoring engineers, and driving engineering excellence within teams
Up-to-date with rapidly-evolving technologies and demonstrated ability to evaluate and adopt new tools and frameworks

Job Responsibility

Lead the technical architecture, design, and implementation of large-scale distributed systems and data platforms to support customer needs and business growth
Oversee the planning, execution, and successful delivery of complex engineering projects, ensuring adherence to engineering best practices and quality standards
Design and build scalable, high-performance backend systems and APIs that handle millions of requests and large datasets efficiently
Architect robust data processing pipelines and ETL workflows using modern cloud technologies and distributed computing frameworks
Drive technical decision-making across the engineering organization, evaluating trade-offs and establishing engineering standards and practices
Lead cross-functional collaboration with product, AI/ML engineering, data engineering, and infrastructure teams to deliver comprehensive solutions
Build and maintain CI/CD pipelines, monitoring systems, and deployment automation to ensure reliable software delivery
Implement AI/ML capabilities including LLM integration, vector databases, and intelligent content processing workflows
Mentor senior and junior engineers, fostering technical excellence and knowledge sharing within the engineering organization

What we offer

100% covered employee medical plan
a dental & vision plans
401(k) with employer contribution
an unlimited vacation policy
10 sick days
short-term disability
long-term disability
generous paid parental leave
employee assistance program
flexible savings accounts

Fulltime

Senior ML Platform Engineer

At WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP e...

Location

United States , Boston

Salary:

150000.00 - 210000.00 USD / Year

Whoop

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s Degree in Computer Science, Engineering, or a related field
or equivalent practical experience
5+ years of experience in software engineering with a focus on ML infrastructure, cloud platforms, or MLOps
Strong programming skills in Python, with experience in building distributed systems and REST/gRPC APIs
Deep knowledge of cloud-native services and infrastructure-as-code (e.g., AWS CDK, Terraform, CloudFormation)
Hands-on experience with model deployment platforms such as AWS SageMaker, Vertex AI, or Kubernetes-based serving stacks
Proficiency in ML lifecycle tools (MLflow, Weights & Biases, BentoML) and containerization strategies (Docker, Kubernetes)
Understanding of data engineering and ingestion pipelines, with ability to interface with data lakes, feature stores, and streaming systems
Proven ability to work cross-functionally with Data Science, Data Platform, and Software Engineering teams, influencing decisions and driving alignment
Passion for AI and automation to solve real-world problems and improve operational workflows

Job Responsibility

Architect, build, own, and operate scalable ML infrastructure in cloud environments (e.g., AWS), optimizing for speed, observability, cost, and reproducibility
Create, support, and maintain core MLOps infrastructure (e.g., MLflow, feature store, experiment tracking, model registry), ensuring reliability, scalability, and long-term sustainability
Develop, evolve, and operate MLOps platforms and frameworks that standardize model deployment, versioning, drift detection, and lifecycle management at scale
Implement and continuously maintain end-to-end CI/CD pipelines for ML models using orchestration tools (e.g., Prefect, Airflow, Argo Workflows), ensuring robust testing, reproducibility, and traceability
Partner closely with Data Science, Sensor Intelligence, and Data Platform teams to operationalize and support model development, deployment, and monitoring workflows
Build, manage, and maintain both real-time and batch inference infrastructure, supporting diverse use cases from physiological analytics to personalized feedback loops for WHOOP members
Design, implement, and own automated observability tooling (e.g., for model latency, data drift, accuracy degradation), integrating metrics, logging, and alerting with existing platforms
Leverage AI-powered tools and automation to reduce operational overhead, enhance developer productivity, and accelerate model release cycles
Contribute to and maintain internal platform documentation, SDKs, and training materials, enabling self-service capabilities for model deployment and experimentation
Continuously evaluate and integrate emerging technologies and deployment strategies, influencing WHOOP’s roadmap for AI-driven platform efficiency, reliability, and scale

What we offer

equity
benefits

Fulltime

Software Engineer, Data Infrastructure

The Data Infrastructure team at Figma builds and operates the foundational platf...

Location

United States , San Francisco; New York

Salary:

149000.00 - 350000.00 USD / Year

Figma

Expiration Date

Until further notice

Requirements

5+ years of Software Engineering experience, specifically in backend or infrastructure engineering
Experience designing and building distributed data infrastructure at scale
Strong expertise in batch and streaming data processing technologies such as Spark, Flink, Kafka, or Airflow/Dagster
A proven track record of impact-driven problem-solving in a fast-paced environment
A strong sense of engineering excellence, with a focus on high-quality, reliable, and performant systems
Excellent technical communication skills, with experience working across both technical and non-technical counterparts
Experience mentoring and supporting engineers, fostering a culture of learning and technical excellence

Job Responsibility

Design and build large-scale distributed data systems that power analytics, AI/ML, and business intelligence
Develop batch and streaming solutions to ensure data is reliable, efficient, and scalable across the company
Manage data ingestion, movement, and processing through core platforms like Snowflake, our ML Datalake, and real-time streaming systems
Improve data reliability, consistency, and performance, ensuring high-quality data for engineering, research, and business stakeholders
Collaborate with AI researchers, data scientists, product engineers, and business teams to understand data needs and build scalable solutions
Drive technical decisions and best practices for data ingestion, orchestration, processing, and storage

What we offer

equity
health, dental & vision
retirement with company contribution
parental leave & reproductive or family planning support
mental health & wellness benefits
generous PTO
company recharge days
a learning & development stipend
a work from home stipend
cell phone reimbursement

Fulltime

Senior Software Developer

Location

Canada , Mississauga

Salary:

Not provided

Advanced Technology Search Group

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field
7+ years of experience as a Full Stack Developer or Software Architect, with a proven ability to design and implement complex systems
Expertise in core programming languages and frameworks, including C#, TypeScript, .NET, and Angular
Solid understanding of software design patterns, algorithms, data structures, and architectural principles
Hands-on experience in coaching and mentoring software developers
Strong knowledge of product architecture and lifecycle management
Demonstrated leadership abilities, including people management, influence, and excellent communication skills

Job Responsibility

Collaborate with internal and external stakeholders to gather and translate architecture and system requirements into actionable development plans
Drive the architectural design of our full-stack applications, focusing on core areas such as user interfaces, middleware, backend systems, and integrations with data analytics and business intelligence platforms
Develop, enhance, and maintain scalable, secure, and high-performance applications using C#, TypeScript, .NET, and Angular
Address customer needs by analyzing challenges and recommending strategic solutions aligned with business goals
Evaluate the implications of architectural changes, proactively suggesting enhancements to improve scalability, maintainability, and performance
Provide mentorship and technical guidance to a team of developers, ensuring the delivery of robust and well-architected solutions
Act as a Subject Matter Expert for one or more key system components, ensuring high-quality design and implementation
Stay updated on emerging technologies and industry trends, ensuring best practices are implemented in development processes
Troubleshoot and resolve complex technical issues efficiently to minimize disruption and ensure a productive development environment
Research and uphold code quality standards, ensuring the highest levels of maintainability, performance, and security

Fulltime

Senior Backend Software Engineer

The Coaching team builds Highspot’s personalized, AI-enhanced coaching capabilit...

Location

Canada , Vancouver

Salary:

146000.00 - 178000.00 CAD / Year

Highspot

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science or equivalent practical experience
5+ years of experience in back-end software development building and maintaining large-scale web applications
At least 3 years of experience working with object-oriented programming languages
Ruby and Python preferred
Experience architecting, building, and deploying mid-to-large scale web applications in a distributed environment
Strong understanding of API design, data modeling, and backend scalability
Experience integrating or working with AI/LLM platforms such as OpenAI, Anthropic (Claude), or Azure OpenAI
Familiarity with AI-powered development tools (e.g., Cursor, GitHub Copilot, Cody, etc.) and a demonstrated ability to incorporate them effectively into day-to-day workflows
Deep expertise in web performance, security, and reliability best practices
Proven ability to deconstruct complex technical problems and deliver elegant, maintainable solutions

Job Responsibility

Design, develop, and maintain high-quality, scalable, and user-centric backend systems using modern technologies
Architect and optimize backend infrastructure to power intelligent, AI-driven workflows and Agentic AI integrations
Build and maintain integrations with multiple large language models (LLMs) including ChatGPT, Claude, and other OpenAI and Microsoft models
Collaborate closely with AI/ML engineers to productionize agentic workflows and autonomous reasoning systems
Partner effectively with Product Management and UX Design to translate ideas and research into production-ready, AI-enhanced features
Leverage AI-assisted development tools such as Cursor, GitHub Copilot, and other code generation frameworks to accelerate development and improve code quality
Lead and mentor engineers through complex projects, emphasizing clean architecture, testing, and software craftsmanship
Drive backend infrastructure improvements that enhance reliability, observability, and performance
Collaborate cross-functionally to deliver differentiated customer value through AI and data-driven solutions
Troubleshoot and resolve critical production issues while contributing to internal documentation and best practices

What we offer

Comprehensive medical, dental, vision, disability, and life benefits
Group Retirement Savings Plan (RRSP) and matching employer contributions (DPSP) with immediate vesting
Flexible PTO
Generous Holiday Schedule + 5 Days for Annual Holiday Week
Quarterly Recharge Fridays (paid days off for mental health recharge)
Flexible work schedules
Access to Coaches and Therapists through Modern Health
2 Volunteer days per year
Monthly transportation allowance for employees that work in our Vancouver Hub location
Employees are eligible to receive stock options

Fulltime

Intelligent Driving Platform Software Development Engineer

Mercedes-Benz AG

Location:
China , Beijing

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
March 04, 2026

Looking for more opportunities? Search for other job offers that match your skills and interests.

Similar Jobs for Intelligent Driving Platform Software Development Engineer

Platform Engineer, Document Intelligence

Senior Software Engineer, Backend (Voice Platform)

Sr Engineers, Software

Staff Software Engineer, Backend

Senior ML Platform Engineer

Software Engineer, Data Infrastructure

Senior Software Developer

Senior Backend Software Engineer

Intelligent Driving Platform Software Development Engineer

Mercedes-Benz AG

Location:China , Beijing

Category:IT - Software Development

Contract Type:Not provided

Salary:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:March 04, 2026

Looking for more opportunities? Search for other job offers that match your skills and interests.

Similar Jobs for Intelligent Driving Platform Software Development Engineer

Platform Engineer, Document Intelligence

Senior Software Engineer, Backend (Voice Platform)

Sr Engineers, Software

Staff Software Engineer, Backend

Senior ML Platform Engineer

Software Engineer, Data Infrastructure

Senior Software Developer

Senior Backend Software Engineer

Location:
China , Beijing

Category:
IT - Software Development

Contract Type:
Not provided

Job Posted:
March 04, 2026