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Experience Level
Entry Level
Qualifications
The ideal candidate will possess a strong foundation in engineering principles, proven problem-solving skills, and a passion for technology. Familiarity with programming languages, software development processes, and analytical thinking is highly desirable. We encourage recent graduates and entry-level professionals to apply!
About the job
Nagarro is seeking a talented and motivated Associate Staff Engineer to join our dynamic engineering team in San Jose. In this role, you will contribute to innovative projects, collaborate with cross-functional teams, and help drive technical solutions that impact our clients. This position is ideal for individuals eager to grow their skills in a fast-paced environment.
About Nagarro
Nagarro is a global technology consulting firm that delivers innovative software solutions to its clients. With a focus on agility and flexibility, we empower our teams to think outside the box and achieve excellence in every project. Join us to be a part of a company that values creativity, collaboration, and continuous learning.
Join Hark: Pioneering AI InnovationAt Hark, we are at the forefront of artificial intelligence, crafting advanced, personalized intelligent systems that proactively engage with the world through speech, text, vision, and persistent memory.We are revolutionizing the human-machine interaction landscape by integrating our sophisticated intelligence with next-ge…
About Hark Hark is at the forefront of artificial intelligence, creating cutting-edge, personalized intelligence systems that are proactive and multimodal. Our technology interacts naturally with the world through speech, text, visual input, and persistent memory. We are integrating this intelligence with next-generation hardware to establish a universal interface between humans and machines. While current AI primarily relies on outdated chat interfaces and devices, Hark is focused on pioneering the future: agentic systems capable of seamless interaction with individuals and their environments. Our mission involves developing multimodal models alongside next-gen AI hardware, designed as a cohesive interface for a new era of intelligent systems. About the Role As a vital member of Hark's Omni team, you will contribute to the development of innovative AI experiences that transcend text, enabling models to comprehend and produce content across various modalities, including audio. Our objective is to forge real-time multimodal intelligence that facilitates intuitive and immersive user experiences. Your role will entail advancing speech and audio functionalities within multimodal foundation models. You will engage in comprehensive tasks—from data and modeling to training, evaluation, and real-time deployment—pushing the frontiers of speech intelligence and enhancing human-computer interaction.
About Hark Hark is at the forefront of artificial intelligence, dedicated to creating sophisticated, personalized solutions that are proactive and multimodal. Our technology interacts with the world through speech, text, vision, and persistent memory. We are integrating this intelligence with cutting-edge hardware to establish a universal interface for human-machine interaction. Unlike existing AI that primarily relies on chat boxes and outdated devices, Hark is pioneering the future with agentic systems that engage naturally with users and their environments. To realize this vision, we are innovating multimodal models alongside next-generation AI hardware, purposefully designed as a cohesive interface for a new era of intelligent systems. About the Role The Omni team at Hark is developing the next generation of AI experiences that extend beyond traditional text-based interactions. Our aim is to enable models that comprehend and generate content across diverse modalities, including text and vision, fostering seamless and immersive user experiences. As a member of the Omni team, you will play a pivotal role in advancing real-time audio, video, and multimodal world models. This position encompasses working across the full technology stack—from data management and modeling to training, serving, and product integration. You will be instrumental in both pretraining and posttraining initiatives, collaborating closely with product teams to enhance model capabilities and deliver outstanding, end-to-end user experiences.
About Hark Hark is at the forefront of artificial intelligence innovation, dedicated to creating advanced, personalized intelligence that is proactive, multimodal, and able to engage with the world through speech, text, vision, and persistent memory. We are combining this intelligence with cutting-edge hardware to establish a universal interface between humans and machines. While existing AI typically operates through chat boxes and outdated devices, Hark is pioneering the future: intelligent systems that naturally interact with people and their environments. To achieve this, we are developing multimodal models and state-of-the-art AI hardware, designed from the ground up as a cohesive interface for a new era of intelligent systems. About the Role The Omni team at Hark is creating the next generation of AI experiences that extend beyond text, enabling models to comprehend and generate content across diverse modalities, including text, audio, and vision. Our mission is to develop seamless, real-time multimodal intelligence that enhances intuitive and immersive user experiences. As a member of the Omni team, you will play a critical role in advancing real-time audio, video, and multimodal models. This position encompasses full-stack development—from data and modeling to training, serving, and product integration. You will contribute to both pretraining and posttraining initiatives while collaborating closely with product teams to push the limits of model capabilities and deliver outstanding end-to-end user experiences.
About Hark Hark is a cutting-edge artificial intelligence company focused on creating advanced, personalized intelligence systems. Our technology is proactive, multimodal, and designed to engage with the world through speech, text, vision, and persistent memory. We are integrating this intelligence with next-generation hardware to establish a universal interface between humans and machines. While conventional AI relies heavily on chat interfaces and outdated devices, Hark is pioneering the future with agentic systems that communicate naturally with people and their environments. To achieve this vision, we are developing multimodal models in conjunction with innovative AI hardware, creating a comprehensive interface for a new era of intelligent systems. About the Role We are in search of a Post-Training Member of Technical Staff to spearhead the development of strategies that define how our models enhance coding, computer utilization, and agentic capabilities on a large scale. This position is at the cutting edge of a rapidly evolving field, where reinforcement learning, simulation, and large-scale model training intersect to create agents that can reason, plan, and execute tasks over extended periods. There is no established playbook; we seek researchers and engineers who can apply rigor and creativity from related domains—such as reinforcement learning, robotics, game systems, compiler tools, formal verification, or program synthesis—to advance the next generation of coding and agentic AI. Responsibilities Design and implement RL-based post-training strategies to develop robust coding agents capable of multi-step reasoning and tool use. Construct and scale simulation environments for agentic reinforcement learning, including code execution sandboxes and verifiable reward systems. Create reward modeling pipelines, including various reward signals, and refine them based on training dynamics. Enhance synthetic data generation and trajectory distillation processes to improve sample efficiency in RL training. Conduct thorough ablation studies to assess the interplay between algorithm choices, data mixtures, and reward shaping in agentic contexts. Establish evaluation frameworks based on real agent tasks to measure progress and inform development. Collaborate with mid-training, infrastructure, and product teams to translate research findings into practical model enhancements.
About Hark Hark is a pioneering artificial intelligence company dedicated to creating advanced and personalized intelligence systems. Our focus is on building proactive, multimodal AI capable of engaging with the world through speech, text, vision, and persistent memory. We are merging this intelligence with cutting-edge hardware to establish a universal interface between humans and machines. While current AI largely relies on chat boxes and outdated devices, Hark is at the forefront of developing the next generation of agentic systems that interact naturally with users and their environment. To achieve our ambitious goals, we are developing multimodal models alongside next-generation AI hardware, designed from the ground up as a single, integrated interface for a new era of intelligent systems. About the Role The Omni team at Hark is revolutionizing AI experiences beyond text, focusing on enabling models to comprehend and generate content across various modalities, including text, audio, and vision. Our mission is to create seamless, real-time multimodal intelligence that enhances intuitive and immersive user experiences. As a key member of the Omni team, you will be responsible for developing large-scale pretraining systems and foundational models. This entails working across the entire stack—from data curation and large-scale training infrastructure to model architecture and optimization. You will significantly contribute to advancing the core capabilities of our models through extensive pretraining efforts.
About Hark Hark is at the forefront of artificial intelligence, dedicated to creating sophisticated, personalized intelligence systems. Our technology is proactive, multimodal, and designed to interact seamlessly with the world through speech, text, vision, and persistent memory. We are revolutionizing the AI landscape by integrating this intelligence with cutting-edge hardware, establishing a universal interface between humans and machines. Unlike traditional AI, which relies on outdated chat interfaces and devices, Hark is pioneering the future: agentic systems that communicate naturally with individuals and their environments. To achieve this vision, we are collaboratively developing multimodal models alongside next-generation AI hardware, engineered from inception as a cohesive interface for the new era of intelligent systems. About the Role We are seeking a Mid-Level Technical Staff Member specializing in AI training to spearhead the development of innovative training strategies that effectively connect pre-training and post-training phases. This role is crucial in shaping how our models gain advanced reasoning, planning, and tool-utilization skills at scale. You will be instrumental in the core of model capability development, determining how data, algorithms, and systems converge to unlock the next level of agent behavior. Responsibilities Design and implement mid-training strategies to enhance agent capabilities such as reasoning, planning, tool usage, and long-term decision-making. Scale synthetic data generation pipelines (e.g., coding, agent trajectories, multimodal data) and optimize data mixtures to boost downstream reinforcement learning performance. Construct and optimize distributed training pipelines for large models, ensuring efficiency, stability, and scalability across GPU clusters. Develop and refine evaluation frameworks to assess model capabilities (e.g., task success, reasoning quality, tool usage accuracy) and guide training refinements. Conduct comprehensive experimentation and ablations to clarify training dynamics, scaling behavior, and identify bottlenecks. Collaborate across functions with pre-training, post-training, and product teams to synchronize model development with practical agent applications. Lead technical innovations in areas such as long-context learning, data distillation, and training efficiency, contributing to the overall model roadmap.
Join our team as an Optometrist and make a positive impact on the vision health of our community in San Jose! In this role, you will provide comprehensive eye exams, diagnose and treat visual disorders, and prescribe corrective lenses. Your expertise will help patients achieve better vision and overall health.
About TENEXTENEX is a pioneering provider of Managed Detection and Response (MDR) solutions, driven by AI and designed for scalability. We empower organizations to reinforce their cybersecurity defenses through cutting-edge threat detection, swift response capabilities, and ongoing protection. Our diverse team comprises seasoned professionals with extensive backgrounds in cybersecurity, automation, and AI technology. Supported by prominent investors, we are in a phase of rapid expansion and are looking for exceptional individuals to join us in transforming the MDR landscape.In the role of Chief of Staff - Director of Technical Program Management at TENEX, you will act as a vital catalyst for our executive and technical teams. Your mission will be to foster strategic alignment, enhance operational efficiency, and ensure the seamless execution of all technical programs, thereby driving the successful realization of our ambitious product roadmap. This position is key to scaling our engineering organization, managing cross-functional projects, and serving as an essential link between leadership and engineering teams.Culture is a cornerstone of our identity at TENEX.AI. We encourage you to explore our culture deck at culture.tenex.ai to see how we embody collaboration and community in our on-site work environment.Location: This role involves working onsite in our San Jose, CA office from Monday to Thursday, with the option to work from home on Fridays.
About Lumilens Lumilens builds photonics infrastructure for AI supercomputing. The team develops technology from chip-to-chip optical interconnects to scalable photonic engines, aiming for faster, cooler, and more efficient computing. Backed by Mayfield and led by experienced industry leaders, Lumilens operates as a well-funded startup. The company focuses on rethinking the optical layer from the silicon up. Engineers at Lumilens work closely together to address complex challenges in optics, systems, and scalability. The company is in an early growth phase, offering the chance to shape foundational technology. Role Overview: Software Engineer – Computer Vision & Robotics This position centers on developing advanced systems for intelligent automation within Lumilens’s manufacturing and photonics platforms. The role combines robotics, AI, and high-performance software to build frameworks that help machines perceive, learn, and interact with complex physical environments. The engineer will design and implement manufacturing automation systems, integrate computer vision and AI algorithms into real-world applications, and optimize performance for simulation, training, and edge deployment. Collaboration with hardware, manufacturing, and systems teams is essential to move intelligent automation from prototypes to scalable production. What You Will Do Develop and deploy software for manufacturing automation using computer vision and AI. Integrate vision and robotics algorithms into production systems. Optimize software for simulation, model training, and deployment on edge devices. Work closely with hardware and manufacturing teams to scale automation solutions. What We Look For Strong experience in computer vision and robotics software development. Hands-on expertise with ROS (Robot Operating System) and distributed systems. Track record of building reliable, real-time software for robotics, autonomous vehicles, or automated manufacturing. Location San Jose
Founded in 2017, WeRide (NASDAQ: WRD) stands at the forefront of autonomous driving technology, pioneering advancements from Level 2 to Level 4. As the only technology firm globally holding driverless permits across China, the UAE, Singapore, and the United States, WeRide conducts extensive R&D, testing, and operational deployment in over 30 cities across 10 countries. With a proven track record of operating a self-driving fleet for over 2,200 days, WeRide is dedicated to shaping the future of mobility.The Silicon Valley team at WeRide.ai is on the lookout for a talented Perception Engineer to drive the implementation of cutting-edge automotive vision and machine learning algorithms.
Join WeRide, a pioneering leader in the autonomous driving technology sector, as a Software Engineer focused on Computer Vision. Since our inception in 2017, we have been at the forefront of developing advanced autonomous driving solutions, achieving operational excellence from Level 2 to Level 4. We are proud to be the only technology firm globally to possess driverless permits in China, the UAE, Singapore, and the United States. Our innovative research and development, testing, and operational deployments span over 30 cities across 10 countries, and we have successfully maintained a self-driving fleet for more than 2,200 days. Step into the future of transportation with us!
About the RoleWe are seeking a talented Senior Machine Learning Engineer to lead the entire process of training and deploying comprehensive Vision-Language-Action (VLA) models for outdoor autonomy. You will be responsible for developing models that empower various vehicles—from our Amiga platform to heavy machinery—to navigate, act, and adapt effectively in unstructured outdoor environments, utilizing raw sensor inputs such as cameras, IMU, GPS, and LiDAR. With our extensive dataset of heavy equipment operations collected from field deployments, we are looking for individuals capable of harnessing vast real-world data along with targeted data collection to train a robust VLA model. This high-impact role encompasses all aspects from data pipelines and model architecture to real-world deployment on edge hardware.What You'll DoDesign, train, and refine VLA and other learned behavior policy architectures aimed at vehicle control in diverse outdoor settings.Establish and uphold robust data pipelines—including ingestion, curation, labeling, and versioning—to facilitate reproducible, high-quality training at scale.Create evaluation frameworks encompassing offline metrics, simulation-based testing, and real-world field validation loops.
About the RoleWe are on the lookout for an experienced Senior Computer Vision Engineer to join our dynamic team. In this role, you will be responsible for designing, developing, and enhancing our proprietary Computer Vision and Machine Learning (CVML) algorithms tailored for our advanced robotics systems. A robust understanding of ML modeling, particularly in object detection and segmentation, as well as classical computer vision algorithms and multi-view geometry, is essential. Proficiency in programming languages such as C++ and Python is required to succeed in this position.What You'll DoEngineer, implement, and refine computer vision and machine learning algorithms for robotics applications.Train, evaluate, and deploy tailored ML models on embedded systems.Collaborate with interdisciplinary teams to integrate models and algorithmic technology into our innovative products.Stay abreast of the latest advancements in computer vision and create custom algorithms.Develop and maintain comprehensive code documentation and unit tests.
Full-time|$130K/yr - $160K/yr|On-site|San Jose, California, United States
Archer, an innovative aerospace company headquartered in San Jose, California, is on a mission to revolutionize air mobility with our all-electric vertical takeoff and landing aircraft. Our cutting-edge design focuses on carrying four passengers while ensuring minimal noise and maximum sustainability.At Archer, we embrace challenges and aim for excellence. We believe that a diverse workplace fosters smarter solutions, better insights, and shared success. Our commitment to creating an equitable and inclusive environment is central to our ethos, where we celebrate the unique contributions of every team member.Key Responsibilities:Drive the assembly and integration of aircraft from initial planning to final delivery.Act as the technical and programmatic liaison, coordinating efforts among engineering, manufacturing, systems, supply chain, and quality assurance teams.Establish and manage integrated program schedules, budgets, and risk registers to monitor progress and ensure milestone achievement.Supervise the integration of structural, mechanical, and avionic systems into aircraft platforms.Ensure configuration control and compatibility with certification and customer requirements.Quickly identify and resolve technical and execution risks.Effectively communicate program status, risks, and recovery plans to leadership and stakeholders.
Join Zscaler as a Senior Staff Technical Program Manager in our Platform Services team. In this pivotal role, you will lead cross-functional initiatives, drive strategic projects, and ensure the successful execution of our technology programs. Your expertise will be integral to enhancing our platform, fostering innovation, and delivering exceptional results.
Full-time|On-site|San Jose, California, United States
Archer Aviation, located in San Jose, California, is a pioneering aerospace firm dedicated to developing an all-electric vertical takeoff and landing aircraft. Our mission is to propel the advantages of sustainable air mobility forward. We are innovating in the design, manufacturing, and operation of an all-electric aircraft capable of transporting four passengers while minimizing noise pollution.We set ambitious goals and tackle challenging problems, believing that a diverse workplace enhances our intelligence, fosters better insights, and ultimately leads to collective success. We are committed to nurturing an equitable and inclusive environment that values our differences and supports every team member. Key Responsibilities:Develop, maintain, and enhance Archer's network infrastructure.Design and implement LAN/WAN solutions, including SD-WAN technology.Collaborate with the Information Security team to align with security strategies and plans.Provide support and troubleshoot network-related issues, including after-hours assistance as needed.Coordinate with vendors regarding the scope of services, project timelines, execution, and acceptance of deliverables.Create and maintain comprehensive documentation of network topology and standards.Conduct research and document comparisons for cost, vendors, and services.Execute procedures to meet compliance requirements (SOX, ISO, etc.).Draft internal procedure documentation and client-facing knowledge base articles.Generate, update, and communicate network metrics to the IT Leadership Team.
Join dstaff as a Staff Cloud Engineer and play a crucial role in building and maintaining our cloud infrastructure. You will work with a talented team to develop scalable cloud solutions that meet our clients' needs. Your expertise in cloud technologies will contribute to the success of our projects, enhancing our service delivery.
Nagarro is seeking a talented and motivated Associate Staff Engineer to join our dynamic engineering team in San Jose. In this role, you will contribute to innovative projects, collaborate with cross-functional teams, and help drive technical solutions that impact our clients. This position is ideal for individuals eager to grow their skills in a fast-paced environment.
San Jose or LA CA (Hybrid)At FloQast, we are revolutionizing the way accounting teams function with our AI-driven workflows. Our platform is trusted by thousands of companies worldwide, serving as a comprehensive operating system for accounting that streamlines intricate financial processes into efficient, dependable, and scalable systems.We are in search of a Staff Software Engineer who not only develops software but also contributes to shaping platforms, enhances team efficiency, and drives substantial impact. In this pivotal role, your architectural choices will significantly affect the entire FloQast application ecosystem, directly fostering innovation across our product offerings.