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Edge Computing Siemens Jobs (NOW HIRING)

EnCharge AI

Principal DFT Engineer

$180K - $220K/yr

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing ... Mastery of industry-standard tools (e.g., Synopsys TestMAX, Siemens/Mentor Tessent, or Cadence ...

SynQor

SMT Operator

Salem, NH · On-site

$19 - $25/hr

Solid understanding of the functions and operations of SMT equipment (Siemens experience is a plus ... leading-edge communications, computing, medical, industrial, and military applications. All ...

Saildrone

IT Technical Support Engineer

Alameda, CA · On-site

$79K - $99K/yr

By combining proven autonomous operations, edge computing, advanced sensing, renewable power, and ... Siemens Teamcenter X). * Infrastructure & Office Tech: Carry out the maintenance and ...

SynQor

SMT Operator

Salem, NH

$19 - $25/hr

Solid understanding of the functions and operations of SMT equipment (Siemens experience is a plus ... leading-edge communications, computing, medical, industrial, and military applications. All ...

ASM

Engineer II, Mechanical Engineering

Chandler, AZ · On-site

Step into a career with ASM, where cutting edge technology meets collaborative culture. For over 55 ... cloud computing, AI, and autonomous driving. But we're more than just a tech company. We value ...

ASM

Senior Engineer I , Mechanical Engineering

Chandler, AZ · On-site

$102K - $135K/yr

Step into a career with ASM, where cutting edge technology meets collaborative culture. For over 55 ... cloud computing, AI, and autonomous driving. But we're more than just a tech company. We value ...

Ametek

PCB Design Engineer

Huntsville, AL

You will be designing leading edge hi-speed PCBs for military/aerospace sea, land and air programs ... Experience of Siemens EDA Xpedition tool set including Layout, Designer, CES, EDM, Fablink and ...

Ametek

PCB Design Engineer

Austin, TX

You will be designing leading edge hi-speed PCBs for military/aerospace sea, land and air programs ... Experience of Siemens EDA Xpedition tool set including Layout, Designer, CES, EDM, Fablink and ...

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Edge Computing Siemens information

What is the difference between Edge Computing Siemens vs Network Engineer?

AspectEdge Computing SiemensNetwork Engineer
Required CredentialsRelevant certifications in industrial automation, IoT, and edge computingNetworking certifications like CCNA, CCNP, or CompTIA Network+
Work EnvironmentIndustrial settings, manufacturing plants, IoT deployment sitesOffice, data centers, corporate network environments
Industry UsageManufacturing, automation, IoT solutionsTelecommunications, IT, enterprise networks

Edge Computing Siemens professionals focus on deploying and managing edge devices in industrial environments, while Network Engineers design and maintain network infrastructure. Both roles require technical certifications but differ in work settings and industry focus.

What are some common challenges faced by professionals working in Edge Computing at Siemens, and how can these be addressed?

Professionals in Edge Computing at Siemens often encounter challenges such as integrating edge solutions with legacy systems and ensuring robust cybersecurity for distributed devices. Additionally, managing data processing in real time and optimizing network latency can be complex due to the scale and diversity of industrial environments. These challenges can be addressed by continuous upskilling in emerging edge technologies, collaborating closely with IT and OT teams, and leveraging Siemens’ internal resources and best practices for secure deployment. Regular training and cross-functional teamwork are key to overcoming these obstacles and driving innovation in edge computing initiatives.

What is edge computing at Siemens?

Edge computing at Siemens refers to the deployment of computing resources and data processing capabilities closer to the source of data generation, such as industrial machines or sensors. This approach reduces latency, increases data security, and enables real-time data analysis, which is critical for industrial automation and IoT applications. Siemens offers edge computing solutions that integrate seamlessly with their industrial automation systems, helping businesses enhance efficiency, reliability, and scalability in their operations.

What are the key skills and qualifications needed to thrive as an Edge Computing Engineer at Siemens, and why are they important?

To thrive as an Edge Computing Engineer at Siemens, you need a solid background in computer science or engineering, experience with IoT systems, and expertise in distributed computing. Familiarity with Siemens industrial platforms (such as MindSphere), edge device management tools, and relevant certifications in cloud or industrial IoT technologies are highly valued. Strong problem-solving skills, collaboration, and effective communication help you excel in integrating edge solutions with enterprise systems. These skills ensure the reliable deployment and management of edge technologies, driving innovation and operational efficiency in industrial environments.

Principal DFT Engineer

EnCharge AI

Remote

$180K - $220K/yr

Full-time

Posted 21 days ago

Job description

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. EnCharge's robust and scalable next-generation in-memory computing technology provides orders-of-magnitude higher compute efficiency and density compared to today's best-in-class solutions. The high-performance architecture is coupled with seamless software integration and will enable the immense potential of AI to be accessible in power, energy, and space constrained applications. EnCharge AI launched in 2022 and is led by veteran technologists with backgrounds in semiconductor design and AI systems.
Principal DFT Engineer
Job Description:
Developing silicon for AI Computing isn't just about speed; it's about balancing high-performance data processing with extreme power efficiency and reliability in remote environments.
As a Principal DFT(Design for Test) Engineer, you will lead our testing strategy, ensuring the manufacturing quality, reliability, and test efficiency of complex, high-performance AI accelerators.
Key Responsibilities:Architectural Leadership: Define and implement the end-to-end DFT architecture for complex SoCs, including Hierarchical DFT, Scan compression, Boundary Scan and MBIST.
Edge-Specific Reliability: Develop strategies for In-System Test (IST) and power-on self-test (POST) to ensure chip health in remote edge data centers.
Implementation & Flow: Oversee scan insertion, ATPG (Stuck-at, Transition, Path Delay), and Memory/Logic BIST.
Cross-Functional Synergy: Collaborate with Design, Physical Design, and Yield teams to ensure high test coverage while minimizing area overhead and power impact as well as timing analysis.
Post-Silicon Validation: Lead the bring-up and debug phase on ATE (Automated Test Equipment) to root-cause silicon failures and optimize test time.
Technical Requirements:Experience: 10+ years in DFT, with at least 2 years in a leadership or principal role.
Tools: Mastery of industry-standard tools (e.g., Synopsys TestMAX, Siemens/Mentor Tessent, or Cadence Genus/Modus).
Memory & Logic Test: Deep expertise in MBIST (Memory Built-In Self-Test) with repair capabilities, SCAN, IJTAG (IEEE 1687) and boundary scan (IEEE 1149.1/6).
Advanced Nodes: Proven track record with FinFET nodes (7nm, 5nm, or below).
Low Power: Experience managing DFT in multi-voltage/power-gated designs-crucial for edge efficiency.
The salary range for this position is $180,000 to $220,000 per year. Actual compensation offered will be determined based by factors as job-related knowledge, skills and experience.

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