{"id":1316219,"url":"https://alion.io/job/vedya-labs-lead-engineertechnical-lead-edge-ai-acceleration","title":"Lead Engineer/Technical Lead (Edge AI Acceleration)","company":{"id":3813263,"name":"Vedya Labs","domain":"vedya.ai","url":"https://alion.io/company/vedya-labs","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":{"grade":"B","score":75,"open_postings":9,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-20T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":25000,"max_usd":62000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1199},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache TVM","optional":false},{"name":"C++","optional":false},{"name":"CNN","optional":false},{"name":"Edge AI","optional":false},{"name":"GCC","optional":false},{"name":"Git","optional":false},{"name":"Linux","optional":false},{"name":"LiteRT","optional":false},{"name":"Machine Learning","optional":false},{"name":"ONNX","optional":false},{"name":"OpenVINO","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"PyTorch C++","optional":false},{"name":"Quantization","optional":false},{"name":"RTOS","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorFlow C++","optional":false},{"name":"TensorRT","optional":false},{"name":"TFLite","optional":false},{"name":"C","optional":true},{"name":"CI/CD","optional":true},{"name":"CUDA","optional":true},{"name":"CUDA Toolkit","optional":true},{"name":"FreeRTOS","optional":true},{"name":"OpenCL","optional":true}],"status":"live","first_seen_at":"2026-05-18T11:29:41Z","employer_posted_date":"2026-05-18","last_verified_at":"2026-10-20T10:48:12Z","board_verified":true,"closed_at":null,"days_open":154,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":154},"description":"We are looking for an experienced and highly motivated Edge AI expert to join our dynamic engineering team. The ideal candidate will have a strong background in porting and optimizing AI/ML models for heterogeneous, multi-core ARM or RISC-V based System-on-Chips (SoCs) in embedded environments.\n\nIn this role, you will work at the intersection of machine learning, systems engineering, and hardware acceleration, contributing to the development of high-performance, reliable, and efficient Edge AI products. You’ll be involved in deploying state-of-the-art AI models on a range of compute engines - including GPUs, DSPs, and NPUs - and driving innovations in AI inference performance on edge devices.\n\nExperience: 5 to 10 Years\n\nJob Location: Hyderabad\n\nRole & Responsibilities / What you’ll do:\n\nDesign, Develop and Optimize AI/ML models (e.g., CNNs, transformers) for edge devices using hardware accelerators like GPU, DSP, and NPU. \n\nAnalyze performance & identify bottlenecks and tune inference pipelines for memory, power, and compute efficiency. \n\nAdapt and integrate optimized models to inference runtimes such as TensorRT, ONNX, TFLite, SNPE, OpenVINO, or TVM. \n\nImplement quantization, pruning, and other model compression techniques. \n\nSupport for integration of AI workloads into embedded software stacks running on Linux, RTOS, or bare-metal systems. \n\nDevelop tools and workflows for automating model deployment across different SoCs and target architectures. \n\nLead and mentor a team of 3 to 6 engineers; Plan, delegate and monitor day to day technical tasks \n\nSupport and work with project manager for project estimation and planning, take part in technical discussions with customers \n\nParticipate in the team's software processes to ensure code quality & maintenance, including -- requirements and design documentation, test-plan generation and execution, peer design and code reviews \n\nStay current with advancements in edge computing, AI inference frameworks, and compiler toolchains. \n\nRequired skills / Whom we are looking for:\n\nBachelor’s or Master’s degree in related engineering field with 5+ to 10 years of hands-on experience in experience in embedded AI/ML development, with a focus on model optimization and deployment. \n\nProficiency in in C/C++ and Python programming, Intrinsic or Assembly based optimization methods using instruction pipeline and latency optimal designs, Modular and Object-Oriented programming skills \n\nExperience working with heterogeneous computing platforms (e.g., CPU + GPU/DSP/NPU). Must have exposure and development experience on one or more DSPs/NPUs for example ARM-NEON, TI C6x/C7x DSP, Tensilica Vision DSPs, CEVA DSPs, Qualcomm Hexagon HVX DSP \n\nIn-depth knowledge Processor/SoC architecture - VLIW and SIMD, DMA, cache, memory architecture etc., \n\nWorking experience in machine learning technologies such as CNN, transformers, quantization algorithms and approaches on embedded systems \n\nHands-on experience with any of the AI frameworks such as TensorFlow, PyTorch, or ONNX and familiarity with inference toolkits such as TensorRT, SNPE, TFLite, TVM, or OpenVINO. \n\nFamiliarity with build systems (e.g. make, cmake, GCC, Eclipse, Visual Studio, ARM Development Tools) \n\nFamiliarity with debugging tools such as GDB, JTAG, and performance profiling tools. \n\nWell verse with software development life cycle and efficient use of associated tools like Git, SVN, JIRA etc., \n\nExperience of leading small teams to achieve technical goals of assigned project \n\nExcellent problem-solving skills with a focus on optimizing software for embedded hardware. \n\nStrong communication skills and the ability to work effectively in a collaborative, cross-functional team environment. \n\nDetail-oriented with a focus on delivering high-quality, reliable software. \n\nSelf-motivated with a strong passion for embedded AI systems and technology. \n\nNice-to-haves\n\nExposure to OpenCL based GPU development / CUDA based programming is a plus \n\nBasic knowledge of RTOS like QNX, FreeRTOS, VxWorks, or similar and Linux with exposure to debugging of embedded systems - familiarity with heterogeneous core architecture is added advantage \n\nFamiliarity with continuous integration and automated testing practices. \n\nWhy join us:\n\nOpportunity to work on innovative projects with the latest Embedded & AI technologies \n\nOpportunities for accelerated career growth and professional development. Engineer your future, we empower our employees to truly own their career and development. \n\nA collaborative and inclusive team culture \n\nCompetitive compensation and benefits package","description_format":"text","description_chars":4609,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":3,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Professional development"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Embedded Software & RTOS","Edge AI"],"lifecycle":[{"event":"open","at":"2026-09-26T18:39:28Z"}],"visa":[],"liveness":{"score":9,"band":"cold","label":"Long shot","p_open":1,"p_active":0.305,"p_room":0.28,"age_days":154,"expected_fill_days":26,"reasons":["conf:0","win:tail","crowd:"],"computed_at":"2026-10-20T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/vedya-labs-lead-engineertechnical-lead-edge-ai-acceleration","json_url":"https://alion.io/job/vedya-labs-lead-engineertechnical-lead-edge-ai-acceleration.json","meta":{"generated_at":"2026-10-20T10:57:34Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":11983,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-21T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":3813263},"rest":"https://alion.io/mcp/rest/get_company?id=3813263"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fvedya-labs-lead-engineertechnical-lead-edge-ai-acceleration"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fvedya-labs-lead-engineertechnical-lead-edge-ai-acceleration"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fvedya-labs-lead-engineertechnical-lead-edge-ai-acceleration"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/vedya-labs-lead-engineertechnical-lead-edge-ai-acceleration\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fvedya-labs-lead-engineertechnical-lead-edge-ai-acceleration"}]}