Design and verify analog and mixed-signal CMOS circuits for integrated voltage regulators. Responsibilities include architectural contribution, schematic and post-layout simulation, circuit research, documentation, design reviews, and cross-functional debugging with characterization, test, and applications teams. The role involves full-custom CMOS design, circuit block ownership, chip integration, and supporting verification and production readiness.
About Ferric, Inc.
Ferric is a technology startup based in New York City that is pioneering an entirely new approach to power delivery for Integrated Circuits and Electronic Assemblies. This approach leverages Ferric’s integration of thin-film magnetic inductors with CMOS technology to enable a significant improvement in the integration density and efficiency of voltage regulators (VRs) compared with current commercially available technologies.
As a Ferric Design Engineer, you contribute to building the most advanced cutting edge integrated voltage regulators, leveraging Ferric’s industry-leading on-chip inductor technology. These products have applications ranging from high-power modern SoCs to ultra-low power Mobile platforms including wearable devices.
Primary Responsibilities:
- Design analog and mixed-signal circuits meeting architectural requirements and technical specifications in various CMOS nodescad
- Actively contribute to the architectural definition of the design and chip integration and work with business and application team to define specifications for upcoming IC's
- Research and investigate new circuit techniques to help improve Ferric IC's
- Perform analysis, design and verification simulations to ensure building blocks meet specifications at the schematic level and after post-layout extraction
- Document assigned blocks, and hold design review meetings and participate in the reviews
- Work cross-functionally with Characterization, Test, and Application Engineers to verify, characterize and debug owned circuit blocks
- PhD or MSEE with 2+ years of experience in full-custom CMOS design
- Design skills in areas such as bandgaps, ADC's/DAC's, PLL's, DLL's, LDO's, temperature sensors, switched-capacitor circuits, op-amps, comparators, and biasing circuits.
- CAD Software: Cadence Virtuoso Schematic and Layout, Spectre, APS, Calibre DRC/LVS/PEX, CppSim
- Experience designing high switching frequency integrated voltage regulators in standard CMOS technologies
- Experience designing analog and mixed-signal circuits in standard CMOS technologies with an emphasis on low-power consumption
- Proven track record for bringing mixed-signal designs into high volume production
- Deep understanding of process and device physics concepts
- Familiarity with mixed signal verification methodologies
- Ability to layout critical analog and mixed-signal circuits
- Experience with backend verification tools including EMIR, static/dynamic MOSFET voltage checks, etc
- Experience with Monte Carlo analysis
- Languages: Verilog, Verilog-AMS, Python, Perl, Tcl, Cadence Skill, MATLAB
- Passionate, self-starter with strong commitment to flawless execution
- Excellent written and verbal communication skills required
- Ability to work well with others in a fast-paced collaborative team environment
- Remote or in NYC office
- Annual salary range for this position 115k-170k
Similar Jobs
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Develop state estimation and navigation algorithms for autonomous systems operating in GPS-denied environments. Build production-grade C++ software for embedded Linux robotic platforms, create modeling and simulation tools, and implement comprehensive testing and validation. Collaborate on roadmap planning and agile execution while improving benchmarking and performance-analysis pipelines. The role requires professional C++ expertise, state estimation algorithm experience, sensor-fusion familiarity, and the ability to deploy reliable autonomy software.
Top Skills:
Automated TestingBarometersC++CamerasCeresCi PipelinesEkfEmbedded LinuxGpsGraph-Based OptimizationGtsamImuLaser AltimetersMagnetometersMatlabOpenvinsParticle FiltersPythonSlamUkfVio
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Develop deep learning and 3D computer vision models for state estimation, visual navigation, localization, depth, correspondence, and pose estimation. Own data preparation, training, evaluation, benchmarking, and reproducible workflows. Integrate learned measurements into VIO and terrain-relative navigation systems, optimize models for onboard compute, and collaborate with deployment, software, systems, and flight-test teams to deliver production-ready Hivemind SDK components.
Top Skills:
3D Computer VisionDeep LearningDiffusion ModelsEmbedded Compute PlatformsFlow MatchingGpu ComputingModel QuantizationMulti-View GeometryOnnxPythonPyTorchSensor Data PipelinesSlamStructure From Motion (Sfm)TensorrtVisual-Inertial Odometry (Vio)
Fintech • Machine Learning • Payments • Software • Financial Services
Build and lead full-stack software engineering projects using microservices, cloud platforms, databases, APIs, and modern development frameworks. Provide technical leadership across Agile teams, mentor engineers, establish coding standards, partner with architects and product managers, improve system performance, reduce technical debt, and shape long-term technology strategy. The role focuses on delivering scalable, robust solutions in a remote-eligible environment.
Top Skills:
Ai Coding ToolsAPIsAutomated Testing FrameworksAWSAzureBitbucketC#Ci/CdDockerFront-End Javascript FrameworksGCPGitGitGoIde CopilotsInfrastructure As CodeJavaJavaScriptKubernetesNode.jsNoSQLObservability ToolsOpen Source FrameworksPythonRdbmsRustScalaTypescript
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
