Why A365 Software Engineering?

Build the cloud platform that’s transforming electronics design. Altium 365 for cloud lets design engineers communicate, collaborate and bring their ideas to market more efficiently than any platform in the industry. These are some of the R&D Software Engineering contributions you might make to Altium 365:    

• Building new cloud-native applications and scalable infrastructure
• Utilizing AI and ML to power advanced search capabilities
• Large-scale data processing; data modeling; holistic, intent-based API design
• Stateful and stateless servers, relational databases, ORM frameworks

Altium offers the opportunity to conceive and build new product features for electronics engineers, and add your own ideas to the world’s most collaborative and efficient electronics design platform.

A Day in The Life of Our DevOps Engineer:

• Have clear and solid relationships with software development departments.
• Plan and document work and projects.
• Build and continuously optimize CI/CD process and streamline automation effort for server provisioning and applications deployment.
• Build a resilient and scalable service infrastructure to accommodate regions.
• Deploy, monitor and scale application services.
• Mentor team members and drive knowledge sharing.
• Participate in project management and on-going strategic planning.

Who you are and what you’ll need for this position:

• It's a full-time, on-site position - five days a week in the office.
• 6+ years of experience in DevOps / SRE environment.
• 6+ years of experience working with Linux, Windows systems.
• Strong understanding and knowledge of Kubernetes. 
• Strong understanding and knowledge of cloud infrastructure components such as AWS (EC2,EKS, RDS, Opensearch, S3, Storage, Route53 and network appliances.
• Strong understanding of Infrastructure as a Code approach (Terraform preferred).
• Good understanding of Software Development Lifecycle.
• Good understanding of microservice architecture.
• Good experience in Monitoring k8s clusters, APM, services and infrastructure located in AWS (NewRelic).
• Ability to create automation tools in Go, Python, Bash, Powershell.
• Familiarity with Continuous Delivery tools used with microservices.
• Hands-on experience architecting and securing cloud networking such as VPC peering, Transit Gateways, subnet, and security groups (nice to have).
• Working knowledge of Jenkins, GitLab or alternative Continuous Integration systems.
• Understanding of Active Directory, DNS and Domain (nice to have).
• Coding Experience.

About the Role

We are developing a modern cloud-based engineering and collaboration platform used by global hardware and product development teams. As a QA Engineer, you will play a key role in ensuring the quality, stability, and performance of a large-scale, feature-rich system. You will collaborate closely with developers, product managers, and design teams to validate functionality, uncover issues early, and help deliver an exceptional user experience across complex engineering workflows.

A Day in the Life

- Create clear, thorough test documentation for new features to ensure they meet functional and quality expectations.

- Execute manual and automated tests to identify bugs, usability issues, or inconsistencies before release.

- Perform extensive regression testing across multiple modules of the engineering platform to maintain product stability.

- Collaborate with developers to reproduce issues, verify fixes, and improve overall quality processes.

- Participate in planning sessions to understand feature goals, risks, and test coverage needs.

- Analyze test results, produce detailed reports, and contribute to continuous improvement of QA workflows.

What We’re Looking For

- 4+ years of experience as a QA Engineer working on complex or large-scale software systems.

- Strong experience testing web applications and distributed SaaS systems.

- Ability to write comprehensive test plans and work with test management platforms (e.g., TestRail).

- Solid understanding of manual and automated testing methodologies, QA processes, and SDLC best practices.

- Hands-on experience testing at the API level.

- Familiarity with performance testing tools (e.g., JMeter).

- Knowledge of CI environments such as Jenkins, GitHub Actions, or TeamCity.

- Detail-oriented mindset with strong analytical and problem-solving skills.

- Excellent communication skills in English, both written and verbal.

What We Offer

- Opportunity to work on impactful, real-world engineering and cloud collaboration products.

- A culture that values autonomy, continuous learning, and shared knowledge.

- Competitive benefits including health coverage, mental-wellbeing support, learning budget, and team activities.

Overview

Join our team as a MEMS Microphone Engineer and lead the charge in developing and optimizing cutting-edge MEMS microphone modules for the future of consumer electronics. Your deep expertise in acoustic engineering and semiconductor manufacturing will be the driving force behind overcoming complex system-level challenges like Microphone Coexistence (Mic-Coex) with wireless radios and ensuring pristine sound quality. Collaborate with cross-functional teams to deliver reliable, high-performing audio solutions with impressive manufacturing yields.

Responsibilities

• Drive the development of custom MEMS microphone modules, covering MEMS transducer, ASIC, and advanced packaging solutions, while balancing acoustic performance, power consumption, and physical footprint.
• Lead the integration of microphone modules into complex systems, focusing on resolving Microphone Coexistence (Mic-Coex) issues involving RF/EMI and signal integrity.
• Implement mechanical and electrical integration using flexible printed circuits (FPC), ensuring robust electrical connectivity and optimal acoustic path designs to maintain high-frequency sensitivity.
• Oversee the Final Assembly, Test, and Pack (FATP) process, establishing critical tolerances and developing acoustic testing methodologies for mass production.
• Define and oversee comprehensive reliability testing programs, including thermal cycling, drop/shock testing, and moisture sensitivity (MSL) evaluations, based on industry standards like JEDEC and MIL-STD.

Minimum Qualifications

• Bachelor's degree in Electrical Engineering, Mechanical Engineering, Acoustics, Physics, Materials Science, or a related field.
• A minimum of 5+ years of direct experience in MEMS microphone module development from concept to high-volume mass production.
• Expertise in acoustic engineering and semiconductor manufacturing, with strong problem-solving skills in system-level challenges such as RF/EMI and signal integrity.
• Proven experience in collaborating with cross-functional teams, external vendors, and contract manufacturers.
• Willingness to travel internationally (up to 25-30%) to support manufacturing ramps and vendor audits.

Preferred Qualifications

• Advanced degree (Master's or Ph.D.) in a relevant field.
• Familiarity with statistical process control (SPC) and data analysis tools like JMP or Minitab for yield analysis and failure mode analysis.
• Experience with structured problem-solving techniques such as 8D and FMEA.

Supply Chain, Sourcing Strategy & Partner Management

• Develop and implement the end-to-end supply chain and sourcing strategy for the Sweater categories including a multi-sourcing approach to ensure resilience.
• Onboard new manufacturing partners to the Quince direct-to-consumer (D2C) model and provide coaching on operating within a rapid replenishment, M2C (Manufacturer-to-Consumer) environment.
• Educate partners on the Quince Operating System (OS), covering:
• Operational Excellence: Fostering rapid lead times and a consumer-oriented approach.
• Financial Model: Achieving high Return on Invested Capital (ROIC).
• Technical Integration: Proficient use of the Vendor Portal.

Operational Excellence & Growth

• Drive continuous improvement to achieve key performance indicators:
• Quality: Defect rate less than 0.5%.
• Speed & Accuracy: Replenishment Lead Time under 14 days.
• Availability: In-stock rate exceeding 99%.
• Financial Impact: Margin-accretive performance.
• Lead Catalog Expansion in collaboration with Merchandising and Product Development (PD) teams, successfully launching new styles and colors approved through the New Product Creation (NPC) process.
• Conduct structured Quarterly Business Reviews (QBRs) with the management of each partner, focusing on strategic alignment, business performance highlights, identified areas for improvement, and future objectives.

Responsibility 

• 15+ years of a director level of Strategic Sourcing or Procurement, or Supplier Management experience operating with major US-based retailers.
• Deep set of partner factory connections within Sweater category globally , including APAC , IST and EMEA regions
• Product obsessed with experience in leveraging factories/vendor expertise to design, cost engineer, and bring products to market. With a thorough Knowledge of Key Material localised in the region
• GM mindset with a supply chain background and manufacturing (lean/ JIT) experience
• Deep understanding of cost for the categories , able to drive product cost saving thru clean sheets and apply different negotiation tactics 
• Highly organized, detail-oriented and analytical with focus on execution, problem- solving, improving processes and brand enhancement.
• Continuous learner and highly curious; always open to considering new perspectives; proactive when changing course and facing added challenges.
• Business savvy and embrace technology /AI 
• Excellent written and verbal communication, presentation, and interpersonal skills
• Bachelor’s Degree, preferred.

Responsibilities

• Debug audio chain circuits, including codecs, embedded DSPs, headphone amps, speaker amps, and microphones, as well as related external circuits like PMICs and converters.
• Achieve electrical performance targets by employing data-driven design approaches, ensuring optimal system performance.
• Perform the validation and testing of audio circuit performance and the full audio system, covering rendering, capture, power consumption, and algorithm tuning.
• Design, specify, and implement product factory tests for audio system validation.
• Collaborate effectively with internal and external hardware teams (System EE, Power/Battery) and software teams, focusing on audio system bring-up and debugging.
• Provide cross-functional leadership in audio system design to enhance and optimize audio quality.

Minimum Qualifications

• Bachelor's degree in Electrical Engineering, Physics, Acoustics or equivalent experience.
• 7+ years of experience in audio system design with a strong impact on cross-functional teams and leadership in audio quality improvement.
• Expertise in designing and debugging analog and digital circuits.
• Proficiency in product development tools such as SPICE simulation, Audio Precision, Power Supplies, Oscilloscopes, and schematic capture and PCB layout tools like OrCAD or Cadence.
• Proven experience with PCBA and product-level failure modes in both production and field settings.

Preferred Qualifications

• Master's degree in Electrical Engineering or Physics.
• Experience designing circuits for the audio chain, including codecs, DSPs, and power supplies.
• Knowledge in transducer design and developing acoustic tests for laboratory and factory environments.
• Familiarity with Android and Qualcomm audio debugging tools, including adb, QXDM, QACT, and AudioReach.
• Understanding of transistor-level IC design and the silicon manufacturing process.
• Experience in audio speech quality testing and optimization using tools like B&K or ACQUA.
• Experience with coexistence testing for audio within a full product (as victim or aggressor)

Process Engineer (Senior Engineer / Engineer)

Responsibilities

• Responsible for the development of new products, new materials and new processes, and responsible for the manufacturability analysis and mass production introduction of evaluation products

• Put forward the process optimization plan, carried out verification and result analysis, and completed the formulation, implementation and update of process documents

• Responsible for the analysis and defect improvement of adverse problems in the battery production process, identification of possible failure modes in the mass production process of new product introduction, and output effective process control methods

• Responsible for product process route and data collection and maintenance

• Responsible for process optimization, improvement of process flow and parameters, and improvement of optimal rate

Qualifications

• Bachelor’s degree or above, major in material, chemistry, mechanical science and engineering

• More than 3 years of experience in lithium battery technology or product development

• Familiar with the manufacturing process standards of lithium batteries

• Good team communication skills

Department：Avatar

职位：制造大模型算法工程师（Downstream）

职责描述：

1. 与资深制造大模型算法工程师合作，开发基于多模态电池基础大模型的下游应用。
2. 参与开发和优化多个具体应用模型，包括电芯质量评估模型、生产过程优化模型、电芯设计优化模型、电芯性能预测模型以及电芯设计生成式模型。
3. 协助实施和优化数据处理管道，确保数据准确性和一致性，以支持下游应用开发。
4. 应用机器学习和深度学习技术进行模型训练、验证和优化。
5. 分析和处理复杂的数据集，提取关键特征以改进模型性能和应用效果。
6. 协助跨职能团队理解业务需求并制定相应的技术实现方案。
7. 持续跟踪最新技术发展，协助引入前沿方法提升模型应用效果。

任职资格：

1. 计算机科学、电子工程、统计学或相关领域的硕士学位。
2. 至少3年以上在机器学习或AI领域的实际工作经验，有制造业或电池生产相关经验者优先。
3. 熟悉机器学习和深度学习算法，具备多模态数据处理与应用开发经验者优先。
4. 熟练掌握Python、TensorFlow、PyTorch等常用的机器学习框架和工具。
5. 具备处理表格数据、时序数据和图像数据的能力，并能够将这些数据应用于具体的模型开发。
6. 良好的沟通能力和团队协作精神，能有效与跨职能团队合作。
7. 具备良好的问题解决能力和学习新技术的意愿。

Responsibilities:

1. Cooperate with senior AI/ML engineers to develop downstream applications based on multi-mode battery basic large model.
2. Participate in the development and optimization of multiple specific application models, including cell quality assessment model, production process optimization model, cell design optimization model, cell performance prediction model and cell design generative model.
3. Assist in implementing and optimizing data processing pipelines to ensure data accuracy and consistency to support downstream application development.
4. Apply machine learning and deep learning technology for model training, verification and optimization.
5. Analyze and process complex data sets, extract key features to improve model performance and application effect.
6. Assist cross-functional teams to understand business requirements and develop corresponding technical implementation plans.
7. Continue to track the latest technological development and help introduce cutting-edge methods to improve the application effect of the model.

Qualifications:

1. Master's degree in computer science, electrical engineering, statistics or related field.
2. At least 3 years of practical working experience in machine learning or AI field, manufacturing or battery production experience is preferred.
3. Familiar with machine learning and deep learning algorithms, multi-modal data processing and application development experience is preferred.
4. Proficient in Python, TensorFlow, PyTorch and other commonly used machine learning frameworks and tools.
5. Have the ability to process tabular data, time series data and image data, and can apply these data to specific model development.
6. Good communication skills and team spirit, able to effectively work with cross-functional teams.
7. Good problem-solving skills and willingness to learn new technologies.