【11月下旬】硅谷热门职位更新，SWE、后端，ML等技术岗火热招聘中，支持H1B

IntelliPro Group

Founded in 2009, IntelliPro Group Inc. is one of the fastest-growing IT services and HR solutions companies serving all industries in the Americas & APAC.

By leveraging AI, big data, and network effects, IntelliPro Group Inc. has built its database for talent matchmaking.

We provide a scalable continuum of services including IT talent solutions, workforce management strategies, and deliverable-based solutions designed to empower your business. Our client portfolio ranges from Fortune 500 companies and top-tier tech firms to innovative start-ups.

本期精选岗位

编码

职位名称

工作地点

11081

Senior Software Engineer - Simulation

Cupertino

11080

Software Engineer - Perception

Cupertino

11079

Software Engineer - Motion Planning

Cupertino

11078

Software Engineer, Mapping & Localization

Cupertino

11076

Machine Learning Scientist

Cupertino

11075

Machine Learning Engineer

Cupertino

11073

Performance Engineer

Remote

11068

Payroll Specialist

10986

Back End Engineer

10897

Chief Human Resources Officer

Austin

1.Senior Software Engineer - Simulation

Position Code：11081

Location：Cupertino

Responsibilities:

Design and implement tools to generate/edit simulation scenarios.
Design and implement visualization dashboards to present simulation results and statistics.
Design and implement intelligent agents for complex and realistic driving scenarios.
Develop realistic vehicle dynamics models.Integrate Plus autonomous driving systems with 3rd-party software such as TruckSim.
Design and implement metrics to evaluate simulation results and discrepancies between simulation and reality.
Sensor-in-the-loop and hardware-in-the-loop simulation frameworks.
Build scalable frameworks to run massive amounts of simulations in a cluster environment.

Role Requirements:

Excellent C++ and Python software development on Linux platforms.
Solid knowledge of linear algebra, computer graphics and statistics.
Experience in developing visualization and modeling tools.
Experience with automotive simulation software and process.
Knowledge in AI and robotics.
Solid understanding of distributed systems.
Some front-end development experience.
BS, MS or PhD in computer science, engineering, math, physics, robotics, or related field.

2. Software Engineer - Perception

Position Code：11080

Location：Cupertino

Responsibilities:

Work with end-to-end system engineers to help design high performance and high availability distributed systems.
Apply cutting-edge computational geometry, image processing, computer vision and machine learning to tackle the long tail of real-world situations.
Build machine learning models to detect/classify objects, and integrate the ML components into the production perception pipeline.

Role Requirements:

Experience in implementing robust, safety-critical, efficient Python, C++ or Java code.
MS or PhD in CS, EE, Mathematics, Statistics or related field.
Deep understanding of machine learning principles and methodologies.
Experience applying and tuning deep neural networks in large-scale, data-driven applications.
Strong familiarity with state-of-the-art machine learning tools, computational geometry, image processing, and computer vision features and techniques.
Past experiences in motion tracking, semantic segmentation, and object recognition are preferred.

3. Software Engineer - Motion Planning

Position Code：11079

Location：Cupertino

Responsibilities:

Collaborate with multiple teams to design reliable, safe, and efficient Motion Planning platform.
Implement large-scale distributed systems to augment our existing infrastructure.

Role Requirements:

Extensive experience designing and building modern planning systems.
Passionate about writing amazing, robust, safety-critical, efficient C++ and Python.
Experience building test-driven, fault-tolerant systems.
MS or PhD in Computer Science or equivalent practical experience.
Preferred candidates have experience in mobile robotics, geometric modeling and trajectory generation.

4.Software Engineer, Mapping & Localization

Position Code：11078

Location：Cupertino

Responsibilities:

Apply and tune deep neural networks in large-scale, data-driven applications; and applying advanced robotics algorithms such as computational geometry, image processing, and computer vision features to build models for high precision mapping and localization for vehicles.
Integrate machine learning components into production pipeline.
Evaluate key performance metrics such as latency, memory and quality.
Develop algorithms for mapping and localization with data from radar, camera and lidar; and lead the building of supporting regression and simulation infrastructures to test system safety and reliability.
Resolve technical issues through debugging, research and investigation over full life cycle of development and implementation.
Design quality metrics for key components including perception, localization, planning, production and control.
Create large datasets to setup benchmarks, and mine and analyze big data to find and resolve potential issues with machine learning components within high performance online system and offline big data processing pipelines.

Role Requirements:

Master of Science degree in Computer Science, Software Engineering, Robotics, or a closely related field and.
3-5 years of software engineering experience including C++, Python, Linux, deep neural networks in large-scale, data-driven applications, computational geometry, image processing, computer vision, machine learning, latency and quality metrics, and data mining and analysis.

5.Machine Learning Scientist

Position Code：11076

Location：Cupertino

Responsibilities:

Use computer vision, computational geometry, and image processing techniques to develop novel deep learning models.
Combine multiple solutions from a wide range of disciplines to solve a single complex system in a creative approach.
Research and design deep learning techniques for prediction or perception.
Develop efficient deep learning architectures running in real-time.
Collaborate with multiple teams to find new ways of modeling in reliable, safe, and efficient AV stack.

Role Requirements:

Strong programming experience in Python, C++, or Java.
PhD in Computer Science, Electrical Engineering, Mathematics, Statistics or related fields.
Comprehensive experience using state-of-the-art machine learning tools in applied setting.
Past experience with applying deep reinforcement learning into practical applications.
Published journal and/or conference papers and completed project descriptions should be submitted with the application.

6.Machine Learning Engineer - Prediction

Position Code：11075

Location：Cupertino

Responsibilities:

Design and implement deep learning techniques to predict the future behavior and trajectory of moving obstacles on road.
Develop efficient deep learning architectures running in real-time.
Collaborate with multiple teams to find new ways of modeling in reliable, safe, and efficient Motion Planning platform.
Implement large-scale distributed systems to augment our existing infrastructure.

Role Requirements:

MS or PhD in Computer Science or related fields.
Strong programming ability in Python and C++.
Comprehensive experience using state-of-the-art machine learning tools in applied setting.
(Preferred) Experience in applying machine learning to control or planning problems such as behavior prediction or reinforcement learning.
(Preferred) Experience in variety of deep learning models or sequence models (e.g. LSTM, seq2seq, embedding).

7.Performance Engineer

Position Code：11073

Location：Remote

Responsibilities：

Perform a variety of tasks involved in the analysis of the operation of PV and BESS products.
Analyze customer reported downtime and evaluate potential causes.
Receive, investigate, and validate customer claims of non-compliance with contractual requirements.
Provide recommendations to customers for any downtime due to an external system.
Build strong relationships with customers based on thorough understanding PV and Energy storage challenges and solutions relating to the application of Sungrow Products.
Verify performance reports provided by vendors and participate in meetings between customers and vendors regarding the provided performance reports.
Assist Field Service Engineers, Technical Support Engineers, and Reliability Engineers in analyzing downtime and track downtime attributed to a products.
Assist the sales teams by reviewing performance guarantees and when necessary directly assist in the negotiation of terms associated with that guarantee.
Alert Regional Managers of trends or issues affecting their region and provide recommendations for corrective action.
Provide feedback to R&D team for common issues effecting contractual requirements.
Actively contribute to the development of the Service Knowledge Base.
Review contracts and documentation on assigned projects to understand requirements, track those requirements using internal data from CMMS system and customer provided data, and report on compliance with those requirements.
Interface with other technical and non-technical personnel communicating at a technical level that can be understood by the person that is receiving the information.

Role Requirements:

Bachelor’s degree or above.
2-3 years’ experiences in payroll operations, especially in accounting firm.
Experience in a high volume, multi-entity, multi-state, payroll shared service-based environment.
Knowledge of tax laws and overtime requirements in the APAC region.
Have a proactive & positive attitude towards global payroll tasks, process improvements and changes.
Ability to work well independently and demonstrating initiative with minimal supervision.
Ability to work in a fast-moving, ambitious and matrix organization.
High attention to detail, with accuracy as a consistent trademark for all deliverables.
Learning fast. Have the willingness and potential to extend to other functions.

8.Payroll Specialist

Position Code：11068

Location：CA

Responsibilities:

Liaise with internal stakeholders (e.g. employees, HR teams etc.) and external payroll providers to complete timely and accurate full payroll calculation and payment T&A, Leave management.
Maintain and updated the system to ensure the system run smoothly and support business needs.
Manage employee’s attendance, cooperate with admin to finish monthly attendance closing, prepare the monthly relative report.
Receive new requirements and modify system accordingly, liaise with system engineer for complex changes.
Contribute to harmonization and improvement activities, making sure that all requirements for the respective countries are kept.
Monitor processes for continuous improvement opportunities; work out proposals, align and update affected processes.
Create and maintain all knowledge in the HR Collaboration Intranet, FAQ, Shared folder, common area to drive transparency for all stakeholders to access and enable for process efficiency.
Key 'Go to' person and fully engaged with stakeholders on all service escalation and improvement. Lead weekly Service Issue Log calls with outsource suppliers.

Role Requirements:

Bachelor’s degree or above.
2-3 years’ experiences in payroll operations, especially in accounting firm.
Experience in a high volume, multi-entity, multi-state, payroll shared service-based environment.
Knowledge of tax laws and overtime requirements in the APAC region.
Have a proactive & positive attitude towards global payroll tasks, process improvements and changes.
Ability to work well independently and demonstrating initiative with minimal supervision.
Ability to work in a fast-moving, ambitious and matrix organization.
High attention to detail, with accuracy as a consistent trademark for all deliverables.
Learning fast. Have the willingness and potential to extend to other functions.

9. Back End Engineer

Position Code：10986

Location：San Francisco

Responsibilities:

Design, build and maintain clean, reusable components of our Kover platform.
Demonstrate ownership and ensure quality of your deliverables.
Contribute to design and architecture discussion to enable secure, scalable and maintainable software.

Role Requirements:

Bachelor's degree in Computer Science or related technical field or equivalent practical experience.
3+ years of work experience in backend development.
Strong expertise in Python3 and Flask.
Strong expertise in relational databases, such as PostgreSQL and non-relational databases like Redis.
A deep understanding of relevant testing development practices.

10.Chief Human Resources Officer

Position Code：10897

Location：Austin

Responsibilities:

Act as “Global Strategic Business Partner” and “Global Coach” to the organization in all relevant HR management issues for Atlas Mining Business.
Lead the global HRBP team for assigned Global Functions, ensure to provide the best HR strategies and services to attract, develop, motivate and retain the best people.
Ensure that all aspects of staffing, employee relations, employee development, compensation & benefits for all employees of the Global Operations of the Atlas Mining Business are delivered timely and in accordance with relevant labor and commercial legislation, in line with corporate guidelines and modern HR Management practice.
Oversee global Compensation and Benefits system’s setting up, implementation and administration. Ensure C&B and payroll delivery in accordance with local labor law, the Collective Labor Agreement and internal management rules.
Understand staffing needs and work with local office(s) to identify the right people for the right positions on timely basis.
Support and drive development initiatives, in close co-ordination with Group Talent Management and Learning and in close alignment with global partners, in the areas of Training, Career and Succession Planning as well as Organizational development efforts.
Lead the HR team members and give functional direction according to the global strategies and concepts ensuring a harmonized approach to all relevant HR processes.

Role Requirements:

Bachelor or above degree from educational entity focusing on Business Administration, Human Resources Management, Personnel Administration or related field.
At least 10 years of progressive experience in Human Resources Management of multinational company with experience in HR Management, Rewards and/or Development.
Proven strategic HR business partner, who supported business partners globally and contributed to the further development of standard/global HR tools and programs.
Rich Hi Tec/Mechanical /Industrial company’s working experience.
0-1 business setting up experience is a plus.
Excellent communication and influence skill with strong problem-solving ability.
Integrity, passion for success, good team player, like to work under pressure.
Bilingual in Mandarin/English is a plus.

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