4 jobs found

Job Description Job Description Company Description Renesas is a global semiconductor company delivering innovative embedded processing, analog, power, and connectivity solutions. This role supports advanced power management products for demanding compute, AI, datacenter, and infrastructure applications. Job Description Renesas is seeking an experienced Principal Digital Engineer to define scalable verification and validation methodologies for advanced digital power management products used in AI, datacenter, and high-performance computing applications. This role focuses on the system-level verification layer that connects analog behavior, digital implementation, firmware interaction, software tooling, validation data, and customer-facing performance. The successful candidate will help define what must be proven, how it should be measured, and how results should be correlated across models, simulation, emulation, bench validation, and silicon. The ideal candidate combines mixed-signal engineering depth with verification strategy, automation mindset, and the ability to align cross-functional teams around clear, repeatable evidence. WHY THIS ROLE MATTERS Define verification strategy for complex mixed-signal power management systems. Improve confidence in architecture decisions by connecting requirements, models, tests, and measured data. Help execution teams converge faster by turning expert validation knowledge into reusable verification patterns. KEY RESPONSIBILITIES Define mixed-signal verification strategy for digital power controllers and related power management products. Develop system-level verification plans covering sensing paths, ADC/DAC behavior, PWM paths, telemetry, compensation, control-loop behavior, latency, quantization, noise, limits, sequencing, and corner behavior. Establish correlation methodologies across behavioral models, RTL, analog/mixed-signal simulations, emulation, bench validation, and silicon measurements where applicable. Define measurable pass/fail criteria, coverage expectations, reference scenarios, and evidence requirements for architecture and product decisions. Collaborate with systems, analog design, digital design, firmware, design verification, validation, applications, and software/tool teams. Support automation of verification results, including consistent metrics, plots, waveforms, summaries, and structured outputs for engineering review. Identify verification gaps early and help teams close ambiguity between system intent, implementation behavior, and validation evidence. Document verification methodology, interface assumptions, test intent, correlation expectations, and residual risks clearly for technical and leadership audiences. Qualifications Bachelor's degree in Electrical Engineering, Computer Engineering, or a related technical discipline. 8+ years of experience in mixed-signal verification, semiconductor validation, systems engineering, analog/mixed-signal design, design verification, or related product development. Strong understanding of analog and mixed-signal building blocks such as ADCs, DACs, amplifiers, references, sensing paths, timing circuits, PWM paths, or power stages. Experience defining verification plans, validation methodologies, measurable results, and technical evidence for complex electronic systems. Ability to work across analog, digital, firmware, validation, applications, and software/tool teams. Strong communication skills and ability to explain complex cross-domain verification issues clearly. PREFERRED QUALIFICATIONS Experience with digital multiphase controllers, DC/DC converters, voltage regulators, power management ICs, or high-current datacenter power applications. Experience with model-to-silicon correlation, behavioral modeling, real-number modeling, Verilog-AMS, SystemVerilog RNM, MATLAB, Python, SIMPLIS, or equivalent environments. Experience with verification automation, data analysis, test infrastructure, dashboards, databases, or API-driven workflows. Familiarity with control loops, stability, latency, quantization, noise, telemetry, and power-system measurement techniques. Experience creating reusable verification frameworks that improve quality and reduce repeated manual test setup. Additional Information Renesas is an embedded semiconductor solution provider driven by its Purpose, To Make Our Lives Easier . With a global team of over 21,000 engineers and problem solvers in more than 30 countries, we offer the opportunity to work on world leading technology for Automotive, Industrial, Infrastructure, and IoT, shaping a safer, healthier, greener, and smarter future. At Renesas, TAGIE is our culture, grounded in being Transparent, Agile, Global, Innovative, and Entrepreneurial. It shapes how we work, grow and deliver on our purpose together. This collaborative spirit and mindset drive our semiconductor technology to transform industries and impact millions of lives. We believe in rewarding our employees with a competitive benefits package alongside their salary. More information will be provided during the hiring process. Are you ready to join our team and shape the future with us? Renesas Electronics is an equal opportunity and affirmative action employer, committed to supporting diversity and fostering a work environment free of discrimination on the basis of sex, race, religion, national origin, gender, gender identity, gender expression, age, sexual orientation, military status, veteran status, or any other basis protected by law. For more information, please read our Diversity & Inclusion Statement. Renesas Electronics deals with dual-use technology that is subject to U.S. export controls regulations. Under these regulations it may be necessary for Renesas to obtain U.S. government export license prior to release of technology to certain persons. The decision whether or not to file or pursue an export license application is at the sole discretion of Renesas.

Job Description Job Description Kodiak Robotics, Inc. was founded in 2018 and has become a leader in autonomous ground transportation committed to a safer and more efficient future for all. The company has developed an artificial intelligence (AI) powered technology stack purpose-built for commercial trucking and the public sector. The company delivers freight daily for its customers across the southern United States using its autonomous technology. In 2024, Kodiak became the first known company to publicly announce delivering a driverless semi-truck to a customer. Kodiak is also leveraging its commercial self-driving software to develop, test and deploy autonomous capabilities for the U.S. Department of Defense. Kodiak Robotics, Inc. was founded in 2018 and has become a leader in autonomous ground transportation committed to a safer and more efficient future for all. The company has developed an artificial intelligence (AI) powered technology stack purpose-built for commercial trucking and the public sector. The company delivers freight daily for its customers across the southern United States using its autonomous technology. In 2024, Kodiak became the first known company to publicly announce delivering a driverless semi-truck to a customer. Kodiak is also leveraging its commercial self-driving software to develop, test and deploy autonomous capabilities for the U.S. Department of Defense. In 2025, Kodiak listed publicly on the NASDAQ. Kodiak is recruiting a Software Engineer who is passionate about vehicular motion control to join our Controls team. The role exposes the breadth of Kodiak's controller, including dynamic control laws, safety limits, monitoring, feedback, and state management. This is an opportunity to develop expertise in control theory, platform characterization, and software engineering. Kodiak supports a range of platforms, which has given rise to a cutting-edge modular controller design. The role accelerates career development by putting driverless features on the road immediately and providing data-based performance feedback. In this role, you will: Implement control and actuation strategies Develop and test reliable, safety-critical software that controls articulated trucks driving on highways Characterize the vehicle platform, including braking, steering, and acceleration Develop models for both onboard and simulated motion prediction Specify requirements and document their implementation Apply degraded operations capabilities for fail-safe driving Collaborate with Planning, Hardware, Systems, and Infrastructure colleagues to advance a robust vehicle control architecture What you'll bring: 2+ year of experience developing production-level vehicular controls software Software development experience writing production-level C++ A strong background in robotics, controls, and mathematics Experience developing, testing, and tuning controllers for autonomous robots, ideally trucks, cars, or flying vehicles A focus on vehicle safety Bonus points if you have: Characterized, modeled, and simulated robotic systems Facility with control theory, including stability analysis Written low-level drivers for software/hardware interfacing using protocols such as CAN or ethernet Developed efficient code running on resource-constrained embedded systems with a real-time operating system Experience with software design and implementation in safety-critical domains (e.g. automotive, aerospace, medical, etc) Knowledge of formal verification methods, writing requirements, and systems engineering processes Proficiency with Python Proficiency with MATLAB / Simulink What we offer: Competitive compensation package including equity and annual bonuses Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Cigna, and MetLife (including a medical plan with infertility benefits) MetLife Legal Services, Identity & Fraud Protection, Hospital Indemnity Insurance, Accident Insurance, & Critical Illness Insurance Flexible PTO, 10 paid holidays, and generous parental leave policies Our office is centrally located in Mountain View, CA Office perks: dog-friendly, free catered lunch, a fully stocked kitchen, and free EV charging Long Term Disability, Short Term Disability, Life Insurance Wellbeing Benefits - Headspace through Cigna, Calm through Kaiser, One Medical, Gympass, Spring Health through Cigna, Rula (mental health navigation) Fidelity 401(k) Commuter, FSA, Dependent Care FSA, HSA Various incentive programs (referral bonuses, patent bonuses, etc.) The pay range listed below reflects the base salary in our SF/Silicon Valley location, across several internal levels. Actual starting pay will be based on job-related factors including: work location, experience, relevant training, education, skill level and performance during interview. Total compensation at Kodiak includes base pay, equity, bonus and a competitive benefits package California Pay Range $145,000-$190,000 USD At Kodiak, we strive to build a diverse community working towards our common company goals in a safe and collaborative environment where harassment of any kind is strictly prohibited. Kodiak is committed to equal opportunity employment regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or veteran status, or any other basis protected by applicable law. In alignment with its business operations, Kodiak adheres to all relevant statutes, regulations, and administrative prerequisites. Accordingly, roles that carry more sensitive requirements may be limited to candidates that can satisfy additional scrutiny and eligibility for such positions may hinge on verification of a candidate's residence, U.S. person status, and/or citizenship status. Should the position require, and Kodiak determines that a candidate's residence, U.S. person status, and/or citizenship status necessitate an export license, bar the candidate from the position, or otherwise fall under national security-related restrictions, Kodiak will consider the candidate for alternative positions unaffected by such restrictions, under terms and conditions set forth at Kodiak's sole discretion, or, as an alternative, opt not to proceed with the candidate's application. If applicable, Kodiak may provide visa sponsorship for eligible candidates. We use a third-party AI tool (Endorsed) to assist in the initial screening of applications. As part of the evaluation process, we provide Endorsed with job requirements and candidate-submitted applications. Final hiring decisions are made by our human recruitment team, and no automated system makes the ultimate decision regarding hiring. Certain features of the platform may qualify it as an Automated Employment Decision Tool (AEDT) under applicable regulations. We began using Endorsed on January 1, 2026. You can review the independent bias audit report covering our use of Endorsed here ( -law-144 ). By submitting your application, you acknowledge that your application may be processed by AI systems as part of the screening and selection process. If you have any questions or would like to request a separate review of your application, please contact with "Separate Review Request" in the email subject line.

Job Description Job Description The Company Halo Industries has invented a technology to replace a decades-old semiconductor material wire saw slicing process that wastes billions of dollars annually in high-value materials. Halo's laser-based technology eliminates this waste from the silicon carbide (SiC) substrate manufacturing process, delivering improvements in both material cost and performance, while enabling accelerated growth for a diverse set of high-growth application markets, including the electric vehicle, grid infrastructure, industrial HVAC and other high-voltage power electronics sectors. Halo originally spun out of Stanford University in 2014, acquiring a significant series A round of VC funding in 2020 following the successful demonstration of the company's precision material slicing equipment. Having recently closed on an $80M+ B round of VC funding, Halo is driving the fast-scale growth of the company's team and manufacturing operations. Halo Industries is well-funded, deeply engaged with multiple strategic customers, and staged to achieve rapid operational, revenue, and valuation growth. The Opportunity The evolution of Halo's technology and equipment, growing from an R&D focus to a production manufacturing environment, has triggered the need for an experienced Machine Control Software Engineer who can lead the design, development, and deployment of the company's production line equipment control and automation strategy. Job Description Lead the design and development of operator control systems for production-line mechanical and opto-mechanical tools. Architect and implement communication interfaces between equipment, factory systems, and subsystems (e.g., motion control, sensors, lasers, and robotics). Develop and integrate industrial communication protocols, including SECS/GEM, TCP/IP, EtherCAT, Modbus, Ethernet/IP, and RS232/RS485. Develop software in C# for GUI and device communication, integrating user interfaces with hardware control and system monitoring. Collaborate with PLC systems (Beckhoff preferred) and ensure consistent control logic using Structured Text (IEC 61131-3) and Ladder Logic. Define and enforce control software standards across production equipment. Design and maintain high-level device interfaces for lasers, robotics, motion control, and data acquisition hardware. Integrate and test machine vision systems (Cognex VisionPro, In-Sight Deep Learning). Build and debug state machines for automation control ensuring reliability and recoverability. Collaborate closely with mechanical, electrical, and integration engineers to develop end-to-end solutions. Conduct thorough system-level and component-level testing. Maintain rigorous documentation, version control, and issue tracking (Git, Jira, Confluence). Work within Agile development cycles to iterate and deploy features efficiently. Requirements Basic Qualifications Bachelor's degree in Software Engineering, Computer Science, or a related technical discipline. 10+ years of experience implementing high-reliability, production-line control systems. Deep understanding of industrial communication protocols: SECS/GEM, EtherCAT, Modbus, TCP/IP, RS232/RS485, OPC UA, Ethernet/IP. Proficiency in C# for GUI development and device communication. Proficiency in PLC programming, ideally Beckhoff TwinCAT 3. Proficiency in C++/ C#, WPF, and .NET for hardware control, GUI development, and data visualization. Preferred Qualifications Strong working knowledge of servos, stepper motors, sensors, actuators, and I/O systems. Experience with ACS motion control and machine automation architectures. Familiarity with Git, Jira, and Confluence for collaborative software development. Semiconductor manufacturing or equipment automation experience. Manufacturing Execution Systems (MES) integration. Expertise in mechatronics/automation design (motor sizing, actuator selection, sensor configuration). Prior startup or scale-up experience, ideally transitioning from R&D to production. Experience with database systems and factory automation integration. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Paid Time Off (Vacation, Sick & Public Holidays) Life Insurance (Basic, Voluntary & AD&D) Family Leave (Maternity, Paternity) Free Food & Snacks Stock Option Plan Short Term & Long Term Disability Base salary $160,000 - $200,000 Additional Information We are committed to creating an inclusive workplace where all team members feel valued and supported. We welcome applicants from diverse backgrounds, including those from underrepresented communities in STEM. If you meet most of the qualifications and are excited about this opportunity, we encourage you to apply.

Job Description Job Description About Etched Etched is building hardware for frontier intelligence. We co-design chips, racks, software, and manufacturing to deliver best-in-class throughput and latency across both prefill and decode workloads. Our first products are heavily focused on inference . Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history. Job Summary Etched's infrastructure spans some of the most sensitive compute environments in the industry: bare-metal HPC clusters running proprietary ASIC workloads, hybrid on-prem/cloud deployments, and internal toolchains that house irreplaceable chip design IP. As we scale from early silicon to production, securing these environments is foundational - not an afterthought. As our first dedicated Network Security Engineer, you will own the design and implementation of Etched's network security posture end to end. You'll work alongside the infrastructure team to harden our physical and virtual networks, enforce least-privilege access to chip design environments, and build the detection and response capabilities that keep our most sensitive assets safe. This is a high-ownership role for someone who wants to shape security architecture at a company building the compute infrastructure for the next decade of AI - not maintain someone else's stack. Key Responsibilities Design and implement a zero-trust network architecture across on-prem datacenters, multiple office locations, and multi-cloud platforms, including secure remote access that eliminates VPN sprawl without sacrificing engineer usability and speed Define and enforce network segmentation policies that isolate sensitive ASIC development workflows from general infrastructure, customer access, validation labs, and manufacturing infrastructure Balancing prevention and detection, deploy, tune, and operate NDR, IDS/IPS, and next-generation firewalls across our physical and virtual network fabric; build automation to continuously assess and enforce firewall rules, ACLs, and routing policies - treating network security configuration as code Integrate and operate EDR/XDR, MDM/MAM, SASE, and CASB tooling in partnership with end-user and IT teams, enforcing unified DLP policies and device compliance posture across endpoint, cloud, and network control planes to eliminate data exfiltration risk Own our vulnerability management process for network-layer exposure: scanning, prioritization, and remediation tracking in partnership with infrastructure engineers Lead incident response for network-layer security events: detection, containment, root-cause analysis, and post-incident hardening Partner with legal, compliance, and leadership to support regulatory requirements and customer security reviews as they arise Architect and deploy network segmentation for our HPC clusters, isolating EDA tool traffic, ASIC simulation workloads, and CI pipelines from each other and from the corporate network Architect and deploy a ZTNA-based corporate network that eliminates VPN sprawl and ensures end-user devices maintain a consistent security posture and seamless access to sensitive development environments - whether engineers are on-site, remote, or traveling - replacing location-dependent trust with continuous identity and device health verification Design and implement a scalable NDR pipeline that ingests flow data across bare-metal switches and cloud VPCs, feeds a centralized SIEM, and generates actionable alerts with low false-positive rates Develop runbooks and automated playbooks for the highest-probability incident scenarios - credential compromise, lateral movement, and exfiltration from IP-sensitive environments Integrate EDR/XDR telemetry with SASE enforcement and CASB inline controls to build a unified DLP detection and response pipeline spanning endpoints, cloud SaaS, and the corporate network Partner with end-user and IT teams to roll out MDM/MAM policies that containerize sensitive IP on engineer devices and enforce compliance-based conditional access across managed and unmanaged environments You may be a good fit if you have (Must-have qualifications) Bring deep, broad networking expertise - from low-level packet analysis and firewall log forensics to BGP configuration, multi-cloud networking, and CASB/SASE integration across a diverse SaaS landscape Have hands-on experience with the Fortinet ecosystem - firewalls, FortiSASE, FortiAPs, and switches - and are comfortable with Arista switch platforms, including configuration, EOS automation, and integration into a broader security architecture Treat security as an engineering discipline: you write code and automation rather than relying on point-and-click tooling, version-control your configurations, and develop intent-driven network automation Have experience securing high-value compute environments - datacenters, HPC clusters, semiconductor design environments, or similar settings where the cost of a breach is extremely high Have deployed and integrated EDR/XDR, MDM/MAM, SASE, and CASB tooling, and understand how to stitch them together into a unified DLP and access control framework that spans endpoints, cloud, and the network Have built or operated ZTNA-based access models and understand how to enforce consistent security posture across on-site, remote, and traveling users without degrading the experience for engineers Are comfortable owning your domain with minimal oversight: you can independently scope a project, identify the right tooling, and drive it to completion Have strong Linux fundamentals and understand how OS-level networking (iptables/nftables, network namespaces, eBPF) interacts with physical and virtual network security controls Have built or operated network security monitoring at scale - you know the difference between a good alert and noise, and you can architect a detection pipeline that surfaces real signal Can communicate risk clearly to both technical peers and non-technical leadership, and can translate security requirements into actionable infrastructure changes Strong candidates may also have experience with (Nice-to-have qualifications) Experience with EDA environments or semiconductor IP security Familiarity with cloud-native network security controls on AWS, GCP, or Azure (security groups, VPC flow logs, cloud firewalls, CSPM) Background in or exposure to NIST, SOC 2, or ISO 27001 frameworks Experience with eBPF-based network observability and security tooling Benefits Medical, dental, and vision packages with generous premium coverage $500 per month credit for waiving medical benefits Housing subsidy of $2k per month for those living within walking distance of the office Relocation support for those moving to San Jose (Santana Row) Various wellness benefits covering fitness, mental health, and more Daily lunch and dinner in our office Unlimited compute budget subject to ROI justification How we're different Etched believes in the Bitter Lesson. We are the first inference-focused frontier AI system. Our addressable market is the entirety of inference, unlike many of our competitors. We are a fully in-person team in San Jose (Santana Row), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both and work across disciplines as needed. Compensation Range: $175K - $275K